PORTFOLIO ARCHITECTURE & URBAN DESIGN
SRUTHI KUMAR
INFO Name
Sruthi Kumar
Location
Bangalore, India
Phone
+91 9902287002
sruthikumar11@gmail.com
REFERENCES Marta Anna Nowak
Lecturer, A.U.D. UCLA martanowak@ucla.edu
Craig Hodgetts
Professor, A.U.D. UCLA chodgetts@hplusf.com
CV
Ar. sruthi kumar
WORK EXPERIENCE
PUBLICATIONS AND FEATURED WORKS
Hyperloop Transportation Technologies, Los Angeles
Hyperloop Studio | 2014-2015 Publication Volumes - 1,2,3 ; Led the publication team. Works featured in various news channels, articles and magazines including CNN, CityLab, Daily Breeze, etc. BMW Transformable Garage Walls | 2015 Supralectures Publication, 2015 Plug-in L.A. : Autonomous West L.A. | Sep ‘14 Featured in evolo.us Kasarasa | 2012 Featured in various news channels and articles across Bangalore, India CBD Map | 2012 Featured in various newspaper articles across Bangalore, India.
Engineering Specialist | Sep ‘15
VBT Consortium, Bangalore, India
Project Architect | May ‘13 - Nov ’13 Handled drawings and 3D views for apartment complexes and residential projects.
Interface Architects, Bangalore, India Jr. Architect | Aug ‘12 - Apr ’13 Handled construction drawings, 3D views and site inspections for residential projects. Also handled interior designs for residences and hospitals.
Venkatraman Associates, Bangalore, India Intern | Feb ‘12 - Jul ’12 Worked on construction drawings and presentation diagrams for apartment complexes and campus projects including Wipro, Infosys, Prestige and Reliance.
EXHIBITIONS AND COMPETITIONS
Intern | Jun ‘10 - Aug ’10 Researched on green buildings and took part in energy audits.
RUMBLE at IDEAS | Jun ‘15 Exhibited Hyperloop studio’s work for RUMBLE.
The Energy and Resource Institute - T.E.R.I., New Delhi, India
Dwell on Design, Los Angeles Convention Center | 2015
CresArc Architects, Bangalore, India Intern | Nov ‘09 - Dec ’09 Worked on schemes for residences.
Malpani and Associates, New Delhi, India
Intern | Jul ‘09 - Aug ’09 Worked on site during construction of the civic center, New Delhi.
EDUCATION UCLA Architecture & Urban Design (A.U.D.), Los Angeles Craig Hodgetts SUPRASTUDIO, Hyperloop Master of Architecture | 2014 - 2015
M.S. Ramaiah School of Architecture, Bangalore, India Bachelor of Architecture | 2007 - 2012
SOFTWARE SKILL SETS Drafting and Modeling Rhino
Grasshopper (Plug-in) Revit
SketchUp
ArchiCAD
Maya
2D & 3D Rendering
VRay
Proj. Mapping
VPT
Podium
AfterEffects & Pr
Keyshot
Autodesk Impressions
CNC
Worked on drawings and presentation for the competition design of Wipro Kodathi campus, Bangalore as part of Venkatraman Associates.
Among the 15 delegates chosen to represent the school, participating in formal and informal design events at BVB School of Architecture, Hubli.
InDesign
Digital Fabrication
Laser Cutter
RAISE Flexible Homes | 2012 Worked on schemes and design for the competition as part of Interface Architects. Commuter Lifestyle Centre | 2012 Worked on drawings and presentation for the competition design of CLC campus, Bangalore as part of Venkatraman Associates.
National Association of Students of Architecture - NASA | 2011
Graphics and Animation Illustrator
Ramani Residence | 2013 Worked on competition winning designs for Ramani residence as part of VBT.
Wipro Kodathi | 2012
Auto CAD
Photoshop
Set up and exhibited the Hyperloop full scale mock up. Named 6th biggest hit in the Dwell article “13 of the Biggest Hits from Dwell on Design Los Angeles2015” - Oct ’15 Hot Wire and Hot Mass at IDEAS | Dec ‘14 Designed and set up the space for exhibiting students works of the Hot Wire and Hot Mass seminar. Plug-in L.A. | Sep ‘14 Exhibited students’ works at Perloff Hall, UCLA.
3D Printer
Zonal National Association of Students of Architecture - ZONASA | 2011
Among the 15 delegates chosen to represent the school at Manipal School of Architecture and Planning, Manipal. Won the runners-up spot along with the cultural trophy and independently winning the best mural design for the team. VISIONAIR | 2009 Participated in the competition to provide schemes for the central area for Bangalore International Airport, BIAL.
CONTENTS
HYPERLOOP ROUTE RESEARCH
HYPERLOOP INTERMEDIATE STATION
HYPERLOOP TERMINAL
HYPERLOOP STUDIO 10 PLUG-IN L.A.
TRANSFORMABLE GARAGE WALL
74
34 HOT WIRE & HOT MASS
92
48 AGGREGATED CONTINUUM
100
112
PROJECTION MAPPING
118
ARCHITECTURE & URBAN DESIGN
DIGITAL FABRICATION
PROJECTION MAPPING
760 MPH
AFFORDABLE TRAVEL
L.A. TO S.F. 30 MINS
PNEUMATIC TUBE TRAVEL
HYPERLOOP STUDIO
1. ROUTE RESEARCH, ANALYSIS AND PRELIMINARY TUBE DESIGNS, 2. INTERMEDIATE STATION, CONCEPTUAL DESIGN, 3. HYPERLOOP TERMINAL
HYPERLOOP ROUTE RESEARCH UCLA SUPRASTUDIO | M. ARCH | 2014 INSTRUCTORS: CRAIG HODGETTS, MARTA NOWAK, DAVID ROSS
A. Research: Study of historical and current routes and modes of long distance transportation. B. Analysis: Analyzing current conditions of travel and ridership, density, travel time between cities, speed of travel across United States, then investigating different routes along existing infrastructure such as train, highway, farmlands, etc. and studying their geography like elevation, curvature, distance and also land ownership. C. Strategy: Creating a strategy for Hyperloop route layout, considering additional stations and accordingly determine capsule load and frequencies. D. Tube and pylon design: Taking into consideration the route conditions, a preliminary design for the tubes and pylons keeping in mind the structure, egress, etc. Two strategies for a network in the United States have been proposed on the basis of - a. Megaregions & b. Statistics Three strategies for the route between L.A. and Vegas have been proposed on the basis of - a. Highway system b. Freight railroad & c. The fastest possible route. LINKS FOR REFERENCE |Route Animation https://www.youtube.com/watch?v=E5asFcQmSiI 10
Image : Route conditions for LA to Vegas 11
Population growth of urban cities along route
Population growth of urban cities along route
C. A. Route 66 section through mountainous
A.
ROUTE 66
HISTORICAL PRECEDENTS 12
regions B. Transcontinental Railroad section winter and summer routes through high terrain B. C. Transcontinental Railroad section route TRANSCONTINENTAL RAILROAD over canyon ravine
BOEING FLIGHT
PANAMA CANAL 13
HIGHWAY NETWORK
RAILWAY SYSTEM NETWORK
BUSIEST SECTIONS OF ANNUAL DAILY TRAFFIC
RAILWAY TRAFFIC VOLUME
U.S. HIGHWAY SYSTEM
U.S. RAILWAY SYSTEM
EXISTING TRANSPORT SYSTEMS 14
PASSENGERS BOARDED AT TOP 25 AIRPORTS
TOP 10 BUSIEST DOMESTIC AIR ROUTES
U.S. AIR FLIGHT SYSTEM
In millions/ day
TOP 20 & 50 PORTS
ANNUAL FLOW OF WATERBORNE COMMODITIES
U.S. WATERS 15
CA - RAILWAY TRAFFIC VOLUME
CA - HIGHWAY TRAFFIC VOLUME
CA - BUSIEST HIGHWAYS AND CONGESTION NODES
CA - LARGEST RAILWAY TRANSIT HUBS
SEATTLE, WA
SEATTLE, WA
PORTLAND, OR
PORTLAND, OR BOSTON, MA
BOSTON, MA
MINNEAPOLIS, MN
MINNEAPOLIS, MN MILWAUKEE, WI
DETROIT, MI
OAKLAND, CA
COLORADO SPRINGS, CO
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
WASHINGTON D.C.
COLUMBUS, OH
KANSAS CITY, MO
LAS VEGAS, NV
WICHITA, KS
VIRGINIA BEACH, VA
LOUISVILLE, KY
NASHVILLE, TN
RALEIGH, NC CHARLOTTE, NC
PHOENIX, AZ MESA, AZ
FT WORTH, TX
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
OAKLAND, CA
FRESNO, CA
COLORADO SPRINGS, CO
WASHINGTON D.C.
COLUMBUS, OH
KANSAS CITY, MO
LAS VEGAS, NV
BALTIMORE, MD
INDIANAPOLIS, IN
DENVER, CO
SAN JOSE, CA
WICHITA, KS
VIRGINIA BEACH, VA
LOUISVILLE, KY
NASHVILLE, TN
RALEIGH, NC CHARLOTTE, NC
TULSA, OK MEMPHIS, TN PHOENIX, AZ MESA, AZ
ALBURQUERQUE, NM
OKLAHOMA CITY, OK
FT WORTH, TX
TUCSON, AZ
JACKSONVILLE, FL
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
EL PASO, TX
JACKSONVILLE, FL
EL PASO, TX AUSTIN, TX
HOUSTON, TX
SAN ANTONIO, TX
TOP 50 POPULATED CITIES
NEW YORK, NY PHILADELPHIA, PA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA SAN FRANCISCO, CA
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
MEMPHIS, TN OKLAHOMA CITY, OK
DETROIT, MI
CHICAGO, IL
TULSA, OK
ALBURQUERQUE, NM
TUCSON, AZ
16
MILWAUKEE, WI
BALTIMORE, MD
INDIANAPOLIS, IN
DENVER, CO
SAN JOSE, CA FRESNO, CA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA SAN FRANCISCO, CA
NEW YORK, NY PHILADELPHIA, PA
CHICAGO, IL
AUSTIN, TX MIAMI, FL
HOUSTON, TX
SAN ANTONIO, TX
POPULATION GROWTH - TOP 50 POPULATED CITIES
MIAMI, FL
Delta Pipelines, CA
Annual Airline Passenger Enplanements
Modern Aqueducts, CA
CA- PASSENGERS BOARDED AT TOP 10 AIRPORTS
CA- WATERS, AQUEDUCTS AND PORTS
SEATTLE, WA
SEATTLE, WA
PORTLAND, OR
PORTLAND, OR
BOSTON, MA
BOSTON, MA
MINNEAPOLIS, MN
MINNEAPOLIS, MN MILWAUKEE, WI
DETROIT, MI
OAKLAND, CA
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
WASHINGTON D.C.
COLUMBUS, OH
KANSAS CITY, MO COLORADO SPRINGS, CO
LAS VEGAS, NV
WICHITA, KS
VIRGINIA BEACH, VA
LOUISVILLE, KY
NASHVILLE, TN
RALEIGH, NC
PHOENIX, AZ MESA, AZ
FT WORTH, TX
TUCSON, AZ
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
COLORADO SPRINGS, CO
LAS VEGAS, NV
WASHINGTON D.C.
COLUMBUS, OH
KANSAS CITY, MO
SAN JOSE, CA FRESNO, CA
BALTIMORE, MD
INDIANAPOLIS, IN
DENVER, CO
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
MEMPHIS, TN OKLAHOMA CITY, OK
OAKLAND, CA
NEW YORK, NY PHILADELPHIA, PA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA SAN FRANCISCO, CA
CHARLOTTE, NC
TULSA, OK
ALBURQUERQUE, NM
DETROIT, MI
CHICAGO, IL
BALTIMORE, MD
INDIANAPOLIS, IN
DENVER, CO
SAN JOSE, CA FRESNO, CA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA SAN FRANCISCO, CA
MILWAUKEE, WI
NEW YORK, NY PHILADELPHIA, PA
CHICAGO, IL
WICHITA, KS
VIRGINIA BEACH, VA
LOUISVILLE, KY
NASHVILLE, TN
RALEIGH, NC CHARLOTTE, NC
TULSA, OK MEMPHIS, TN PHOENIX, AZ MESA, AZ
ALBURQUERQUE, NM
OKLAHOMA CITY, OK
FT WORTH, TX
TUCSON, AZ
DALLAS, TX
JACKSONVILLE, FL
ATLANTA, GA
ARLINGTON, TX JACKSONVILLE, FL
EL PASO, TX
EL PASO, TX AUSTIN, TX
HOUSTON, TX
SAN ANTONIO, TX
PUBLIC TRANSPORTATION - TOP 50 POPULATED CITIES
AUSTIN, TX MIAMI, FL
HOUSTON, TX
SAN ANTONIO, TX
MIAMI, FL
RIDERSHIP - TOP 50 POPULATED CITIES 17
SEATTLE, WA SEATTLE, WA
PORTLAND, OR PORTLAND, OR
BOSTON, MA
BOSTON, MA MINNEAPOLIS, MN MINNEAPOLIS, MN MILWAUKEE, WI
DETROIT, MI
SAN FRANCISCO, CA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA OAKLAND, CA
COLORADO SPRINGS, CO
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
WICHITA, KS
SAN FRANCISCO, CA
RALEIGH, NC
TULSA, OK MEMPHIS, TN PHOENIX, AZ MESA, AZ
OKLAHOMA CITY, OK
ALBURQUERQUE, NM
FT WORTH, TX
TUCSON, AZ
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
JACKSONVILLE, FL
WICHITA, KS
VIRGINIA BEACH, VA
LOUISVILLE, KY
RALEIGH, NC CHARLOTTE, NC
NASHVILLE, TN
TULSA, OK MEMPHIS, TN PHOENIX, AZ MESA, AZ
OKLAHOMA CITY, OK
ALBURQUERQUE, NM
FT WORTH, TX
TUCSON, AZ
EL PASO, TX
WASHINGTON D.C.
COLUMBUS, OH
KANSAS CITY, MO COLORADO SPRINGS, CO
LAS VEGAS, NV
BALTIMORE, MD
INDIANAPOLIS, IN
DENVER, CO
SAN JOSE, CA FRESNO, CA
CHARLOTTE, NC
NASHVILLE, TN
OAKLAND, CA
NEW YORK, NY PHILADELPHIA, PA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA VIRGINIA BEACH, VA
LOUISVILLE, KY
DETROIT, MI
CHICAGO, IL
WASHINGTON D.C.
INDIANAPOLIS, IN KANSAS CITY, MO
LAS VEGAS, NV
MILWAUKEE, WI
BALTIMORE, MD
COLUMBUS, OH
DENVER, CO
SAN JOSE, CA FRESNO, CA
NEW YORK, NY PHILADELPHIA, PA
CHICAGO, IL
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
JACKSONVILLE, FL
EL PASO, TX AUSTIN, TX
HOUSTON, TX AUSTIN, TX
SAN ANTONIO, TX
HOUSTON, TX
MIAMI, FL SAN ANTONIO, TX
JOB NUMBER - TOP 50 POPULATED CITIES
MIAMI, FL
JOB GROWTH - TOP 50 POPULATED CITIES
Velocity (mph)
760
Velocity 600(mph)
550 760 600
300 550 200
20
300
Time
0
15
30
45
LOS ANGELES, CA
1
60
75
1,5 90
105
2
120
2,5
135
150
0,5
15
30
1
45
60
45
60
45
60
75
1,5 90
2
105
120
105
120
105
120
2,5
135
150
200
300 200
0
15
0,5 30
LOS ANGELES, CA 0
15
0,5 30
1 1
75
75
1,5 90
1,5 90
2 2
135
OMAHA, OMAHA, NE NE
600
300 550
DENVER, DENVER, CO CO
550 760
LAS VEGAS, LAS VEGAS, NV NV
Velocity 600(mph)
195
3
165
180
165
180
165
180
195
NEW YORK, NY
LOS ANGELES, CA 760
180
NEW YORK, NY
20
0 Velocity (mph)
165
3
135
2,5 150
2,5 150
3 3
CHICAGO, CHICAGO, IL IL
0,5
200
3,5
210
225
4
240
255
(hr) (min)
Time
3,5
210
4
225
240
225
240
255
(hr) (min)
Time
3,5
195
210
195
210
3,5
4
255
(hr) (min)
Time NEW YORK, NY
225
LOS ANGELES, CA
4
240
255
(hr) (min)
NEW YORK, NY
Velocity (mph) 760 Velocity
600(mph) 550 760
600 300 550
200 300
200
Check-in and Security Check
Baggage Claim
0,5 1 Security45Check 60 0 Check-in 15 and30
LOS ANGELES, CA 0,5
1
75
1,5 90 1,5
105
2 120 2
135
2,5 150 2,5
0 15 30 45 60 75 90 105 120 135 150 FLIGHT VS. HYPERLOOP - FEASIBILITY CALCULATIONS AND GRAPH
18
LOS ANGELES, CA
165
3 180
165
3 180
195
3,5 210
195
3,5 210
225
4 240
225
4 240
255
4,5 270
255
4,5 270
285
5 300
285
5 300
315
5,5 330
315
5,5 330
Time
345
6 360
375
6,5 7 (hr) Baggage 390 405Claim420 (min)
345
6 360
375
6,5 390
Time NEW YORK, NY
405
7 (hr) 420 (min)
NEW YORK, NY
RATING OF TOP 50 POPULATED CITIES 50 of the most populated cities in the country were marked on a scale of 1 to 10 in the following categories Population, Population Growth, Public Transport System (connectivity), Job Number, Job Growth, Ridership (based on AMTRAK riderships from cities), Most Visited Cities (Domestic and International Tourism), Proximity to 5 Main Closest Cities & Transport of Freight. These ratings were done to help decide a network for the Hyperloop within the United
SEATTLE, WA
PORTLAND, OR BOSTON, MA
MINNEAPOLIS, MN MILWAUKEE, WI
DETROIT, MI
OAKLAND, CA
LOS ANGELES, CA LONG BEACH, CA SAN DIEGO, CA
WASHINGTON D.C.
COLUMBUS, OH
KANSAS CITY, MO COLORADO SPRINGS, CO
LAS VEGAS, NV
BALTIMORE, MD
INDIANAPOLIS, IN
DENVER, CO
SAN JOSE, CA FRESNO, CA
CLEVELAND, OH
OMAHA, NE
SACRAMENTO, CA SAN FRANCISCO, CA
NEW YORK, NY PHILADELPHIA, PA
CHICAGO, IL
VIRGINIA BEACH, VA
LOUISVILLE, KY
WICHITA, KS
NASHVILLE, TN
RALEIGH, NC CHARLOTTE, NC
TULSA, OK MEMPHIS, TN PHOENIX, AZ MESA, AZ
OKLAHOMA CITY, OK
ALBURQUERQUE, NM
FT WORTH, TX
TUCSON, AZ
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
JACKSONVILLE, FL
EL PASO, TX AUSTIN, TX
HOUSTON, TX
SAN ANTONIO, TX
States.
MIAMI, FL
MOST VISITED CITIES (TOURISM) - TOP 50 POPULATED CITIES
SEATTLE, WA
PORTLAND, OR BOSTON, MA
MINNEAPOLIS, MN
CHICAGO, IL
DETROIT, MI PHILADELPHIA, PA CLEVELAND, OH BALTIMORE, MD
OMAHA, NE DENVER, CO
SACRAMENTO, CA SAN FRANCISCO, CA
WASHINGTON D.C. COLUMBUS, OH
KANSAS CITY, MO
SAN JOSE, CA FRESNO, CA
NEW YORK, NY
ROAD
RAILWAY
AIRPLANE
SHIP
HYPERLOOP
SPEED
80mph
200 mph
500-600mph
22-33mph
500-550mph
FREQUENCY
N/A
N/A
50 per day
N/A
Every 30s- 20min
FLEXIBILITY
Flexible routine Random stops
Fixed routine Frequent stops
Fixed routine Non - stop
Restricted routine Frequent stop
Fixed routine Frequent stops
1-7 Passengers per car & Luggage
1200 Passengers/ train & Luggage
100-300 Passengers/flight (66-100 per hour) Restricted Luggage
For freight
840 Passengers per hour Vehicles & Luggage
Linear
Linear
Point
Point
Linear
TERMINAL SIZE
N/A
Medium
Large
Various
Medium
CO2 EMISSION
0.225kg/ passenger mile
0.225kg/ passenger mile
0.185kg/ passenger mile
0.048kg/mile
0.170kg/ passenger mile
INDIANAPOLIS, IN
OAKLAND, CA
LAS VEGAS, NV COLORADO SPRINGS, CO
WICHITA, KS
LOUISVILLE, KY
NASHVILLE, TN
VIRGINIA BEACH, VA RALEIGH, NC CHARLOTTE, NC
TULSA, OK LONG BEACH, CA SAN DIEGO, CA
LOS ANGELES, CA
MEMPHIS, TN PHOENIX, AZ MESA, AZ
ALBURQUERQUE, NM
OKLAHOMA CITY, OK
FT WORTH, TX
TUCSON, AZ
ATLANTA, GA
ARLINGTON, TX DALLAS, TX
JACKSONVILLE, FL
EL PASO, TX AUSTIN, TX
HOUSTON, TX
SAN ANTONIO, TX
MIAMI, FL
FLIGHT VS. HYPERLOOP As a test, a graph was drawn to check the feasibility of the Hyperloop for long distance travel as opposed to a flight, considering the long check-in and wait hours at the airport. This test was done considering L.A. and New York as end points, and the test was done for two cases - in case of non stop travel between the two points and in case of a travel with 4 stops (approximately every 400 mi). In both cases Hyperloop proved to be more
CAPACITY
DISRUPTION OF NEIGHBORHOOD
viable. 19
OAKLAND, CA
SAN RANCISCO, CA
STRATEGY 1 M LWA MI AUK Megaregion
DENVER, CO
NorthFRESNO, Cities Network CA
LAS VEGAS, NV
CO
MENTO, CA MINNEAPOLIS, MN
KANSAS CITY, MO
NORTHERN South Cities Network CALIFORNIA FRONT RANGE BOSTON, MA COLORADO SPRINGS,
SAN JOSE, CA
M LWA MI AUK
PHILADELPHIA, PA VIRGINIA BEACH, VA
LOUISVILLE, CHICAGO, IL KYLE
WICHITA, KSNE O OMA HA,
CHARLOTTE, NC
TULSA, OK
INDIANAPOLIS, IN AKL AK K AN AKL AK AN KLAN KL ND, CA KLAN KL K ND, CA LOS ANGELES, CA DENVER, CO CASCADIA DENVER, CO MEMPHIS, TN WINNIPEG, MB SEATTLE, WAKAN LONG BEACH, WI KAN VIRGIN VIR GINIA GIN IA BE BEA ACH, CH VA MILWAUKEE, DETROIT, MI NEW YORK, NY SAN FRANCISCO, CA OKLAHOMA S NJ SAN JOSE, JO OSE, E C CA A S NJ SAN JOSE, JO O E OK CA C A SE, CITY, CA AS LOUISVILLE, KY LOU L ATLANTA, GA ALBURQUERQUE, PHILADELPHIA, PA EUROPE/S IA/ NM SAN DIEGO, PHOENIX, AZ E E OUTH RA EIG RAL EIGH, H NC NC H, CLEVELAND, OH UR ROP CHICAGO, IL FRES FRE S O, CA FRES FRE S O, CA CA MESA, AZ E ARLINGTON, BALTIMORE, / EOUPMD COLO COL O SPRINGS, COLO COL O SPRINGS, LAS VEGAS, NV LAS VEGAS, NV A PORTLAND, OR I TX AS 3 CCOLUMBUS, O CO CHARLOTTE, NC CO FTKS WORTH, TX D.C. ICHI HT TA, WIC ICHI HT TA, KS TUCSON, AZ CO OMAHA, NE OH WASHINGTONWIC GREAT LAKES NASHVILLE, TN BOSTON, MA DALLAS, TX
TULSA, OK SOUTHERN LOS ANGELES, CA
EL PASO, TX VIRGINIA BEACH, VA
N LOS ANGELES, CAKANSAS CITY, MOMINNEAPOLIS, MN LOUISVILLE, KY EACH, CH IA DIEGO,
CA
TULSA, OK
TUCSON TUC SON,, AZ SON
CA RI
DENVER, CO ARLINGTON, TX FT WORTH, TX
NORTH CITIES NETWORK South Cities Network
DALLAS, TX COLORADO SPRINGS,BOSTON, MA
HOUSTON, TX
SEATTLE, WA
CHARLOTTE, NC
SAN ANTONIO, TX
EXPORT AND IMPORT LAND
Megaregion
SOUTH CITIES NETWORK West FL Coast Network JACKSONVILLE,
East Coast Network
DETROIT, MI
CHICAGO, IL
KANSAS CITY, MO NEW YORK, NY
PHILADELPHIA, PA
CLEVELAND, OH
COLORADO SPRINGS, BALTIMORE, MD CO WICHITA, KS
COLUMBUS, OH
U.S. NETWORK STRATEGIES OKLAHOMA CITY, OK
20 FT WORTH, TX
ARLINGTON, TX
TULSA, OK
OKLAHOMA CITY, OK VIRGINIA BEACH, VA
RALEIGH, NC CHARLOTTE, NC
NASHVILLE, TN
WEST COAST NETWORK
WASHINGTON D.C.
FT WORTH, TX
TUCSON, AZ
TULSA, OK
QUERQUE, NM
CHICAGO, IL
DENVER, CO
MILWAUKEE, WI
LOS ANGELES, CA INDIANAPOLIS, IN LONG BEACH, CA KANSAS CITY, MO ALBURQUERQUE, NM SAN DIEGO, PHOENIX,LOUISVILLE, AZ KY CA MESA, AZ
WICHITA, KS
AM ER ICA
/ AS IA
PHASE 12 PHASE
PHASE 2 PHASE PHASE 3 3
MINNEAPOLIS, MN
OMAHA, NE
LAS VEGAS, NV
LORADO SPRINGS,
GULF COAST G
AM ER ICA
EU RO PE FLORIDA /S OU TH MIAMI, MIA MIAMI A I, FL
JACKSONVILLE, FL
PHASE 1
OVER SEAS
OMAHA, NE
DENVER, CO
SAN ANTONIO, O, TX X
/SOUT H AM ERIC A
BOSTON, MA
OVER SEAS
MILWAUKEE, WI
FRESNO, CA
TH
LAND
BOSTON, MA
2
MIAMI MIA A I, FL MIAMI,
G GUL
HOUSTON, TX PIEDMONT ATLANTIC EUROPE
EXPORT AND IMPORT
PORTLAND, OR
STRATEGY 1
MINNEAPOLIS, MN SACRAMENTO, CA MIAMI, FL OAKLAND, CA SAN FRANCISCO, CA SAN JOSE, CA
ARLINGT ARL TON, TX
OPE/SO UTH A MER ICA
MIAMI, FL
N ATLANTA, GA
FT W
L AS, DAL ALL EUR TX
FLORIDA AUSTIN, TX ATLANTA, GA
ICA AMER SOUTH
JACKSONVILLE, FL
RA EIG RAL EIGH, H NC H, NC
NASHVILLE, TN
MEXICO DALALLL AS, TX EU EL PASO, TX RO PE HOUSTON, TX /S AUSTIN, TX OU TH SAN ANTONIO, O, TX X AM M EXIC O EU ER RO ICA PE / AS /S IA OU
W
CHARLOTTE, NC
MEMPHIS, TN
K OKL LAHO A MA CITY Y, O OK
A IC ER
AUSTIN, TX
WIC ICHI HT TA, KS
TEXAS TRIANGLE
/SOUT EUROPE/SOUTH AMER H AM ICA ERIC A TX
ARLINGT ARL TON, WASHINGTON D.C.
VIRGIN VIR GINIA GIN IA BE BEA ACH, CH VA
EL PASO, TX
SPRINGS,
GULF COAST G
A IC ER
RALEIGH, NC
KAN
JACKSONVILLE, FLLLOU LOUISVILLE, KY
ICA AMER SOUTH
DALLAS, TX
INDIANAPOLIS, INFT
AZ
AM
Strategy 1
3
DENVER, CO TUCSON TUC SON,, SON
ALB BURQ URQUER U QUE, NM
MESA, M ME Z A, AZ
MEMPHIS, TN NORTHEAST
BALTIMORE, MD
TRIANGLE UMBUS, OH UMB
MIAMI, FL
O OMA HA, NE
TULSA, OK
TUCSON TUC SON,, AZ SON
MEMPHIS, TNICA ER AM MIAMI,HFL T ATLANTA, GA U SO A/ ASI
ARLINGTON, TX
EL PASO, TX VIRGINIA BEACH, VA
PIEDMONT NEW YORK, NY E OKL LAHO A MA CITY Y,PAOK OK ATLANTA, GA ATLANTIC ALB BURQ URQUER U QUE, NM EUPHILADELPHIA, LETEXAS ROPE CHICAGO, IL
PHOENIX, AZ FRONT RANGE MESA, M ME Z A, AZ
H UT SO
FT WORTH, TX
CA SAN ANTONIO, O, TX X
AM
OLIS, IN
OKLAHOMA CITY, OK
WASHINGTON D.C.
CHARLOTTE, NC SAN DIEGO, PHOENIX, AZ
NASHVILLE, TN
ME XICO
C
H UT SO
COLUMBUS, OH
CALIFORNIA
NASHVILLE, TN
M LWA MI AUK
COLO COL O CO CO
TH KANSAS CITY, MO VIRGINIA BEACH, VA OU LOUISVILLE, S KY / A I RALEIGH, NC SOUTHERN HOUSTON, TX LOS ANGELES, CA JACKSONVILLE, FLAS AUSTIN, TX CH EACH,
A IC ER
NEW SAN ANTONIO, TXYORK, NY ALBURQUERQUE, NM PHILADELPHIA, PA AND, OH AZ BALTIMORE, MD
A D.C. OH IC WASHINGTON L AS, TX DAL ALL
AS
TULSA, OK
AM
T, MI
COLUMBUS, S SAN NJ JOSE, JO OSE, E C CA A
ATLANTA, GA R STRATEGY 1 OPE FRES FRE S O,IN CA E MegaregionEL PASO, EURINDIANAPOLIS, AM LAS VEGAS, NV IA/ TX
WICHITA, KS
HOUSTON, TX
BALTIMORE, TX MD
AK AKL K AN KLAN KL NFT D, CAW SAN FRANCISCO, CA
ICA AMER SOUTH
AUSTIN, TX
H UT SO
CO
MEMPHIS, TN
OMAHA, NE
OKLAHOMA CITY, OK
LOUISVILLE, K LOU L
AME RIC A
TULSA, OK
MINNEAPOLIS, MN
MEMPHIS, TN
SOUTH AME RIC A
C
SAN WICHITA, KS
SOUTH AME RIC A
GS,
EACH, CH CALIFORNIA HOUSTON, TX AUSTIN, OKL LAHO A TX MA CITY Y, OK OCK ALB BURQ URQUER U QUE,WI NM MILWAUKEE, DETROIT, MI NEW YORK, NORTHERN SANNYDIEGO, PHOENIX, AZ CHARLOTTE, NC TEXAS NASHVILLE, TN CALIFORNIA PHILADELPHIA, CAPA SAN ANTONIO, TX ARL MESA, M ME Z A, AZ TRIANGLE CLEVELAND, OH ARLINGT TON, CHICAGO, IL SACRAMENTO, CA RALEIGH, NC
INDIAN
BOSTON, MA
JACKSONVILLE, FL
SOUTH AME RIC A
INDIANAPOLIS, IN
LE
CHICAGO, IL
WASHINGTON D.C. O OMA HA, NE
UMBUS, OH C AUMB NAD A
NASHVILLE, TN
SACRAMENTO, CA
E
EUROPE/SOUTH A MERIC A
RALEIGH,BALTIMORE, NC MD
FRONT RANGE
WINNIPEG, BC
note on diagram 7pt
NEW YORK, NY
INDIANAPOLIS, IN E
ARLINGTON, TX DALLAS, TX
EL PASO, TX
EAST COAST NETWORK
MEMPHIS, TN
AUSTIN, TX
HOUSTON, TX
DETROIT, MI CLEVELAND, OH
NEW YORK, NY PHILADELPHIA, PA BALTIMORE, MD
D.C. COLUMBUS, OH WASHINGTON STRATEGY1: MEGA REGION NETWORK INDIANAPOLIS, IN Mega regions are denseVIRGINIA interconnected centers of population and economic activity. BEACH, VA LOUISVILLE, KY These regions will continue to grow in population, economy and interaction. What they RALEIGH, NC lack is an infrastructure that can tie them more seamlessly. CHARLOTTE, NC NASHVILLE, TN Phase 1: This strategy answers to the infrastructure that the megaregions need to MEMPHIS, TN interact more seamlessly between metropolitans. ATLANTA, GA Phase 2: Coastal regions become more connected making intercontinental and international economies smoother. JACKSONVILLE, FL Phase 3: Eventually the whole nation is interconnected, making it easier to travel from one coast to the other.
ATLANTA, GA SAN ANTONIO, TX
MIAMI, FL
SEATTLE PORTLAND
BOSTON
SEATTLE
MILWAUKEE
NEW YORK
CHICAGO
PORTLAND SACRAMENTO SAN FRANCISCO SAN JOSE
PHILADELPHIA BALTIMORE BOSTON WASHINGTON D.C.
MILWAUKEE
10
NEW YORK
LOS ANGELES SACRAMENTO PHOENIX SAN FRANCISCO SAN DIEGO SAN JOSE
8
CHICAGO
6
FT WORTH
PHILADELPHIA BALTIMORE WASHINGTON D.C.
DALLAS
4
PHASE 1 LOS ANGELES PHASE 2 PHOENIX SAN DIEGO PHASE 3
AUSTIN
2
HOUSTON
8
San Jose
Milwaukee
Austin
Fort Worth
Seattle
San Antonio
Portland
Sacramento
Baltimore
Dallas
San Diego
Boston
San Francisco
Washington
Houston
Philadelphia
Phoenix
Los Angeles
Chicago
New York
0
2
4
6
JOB GROWTH 10% POPULATION GROWTH 10%
STRATEGY2: STATISTIC EVALUATION 5 criteria were short listed for the cities and maximum percentage was given for population and ridership. Using these grading JOB GROWTH criteria, the top ten cities were chosen as the first set of POPULATION stations10%for Hyperloop and the next ten cities, for phase two of Hyperloop GROWTH 10% construction. Eventually, the network will extend to smaller cities. POPULATION 40%
JOB NUMBER 15%
POPULATION 40%
JOB NUMBER 15%
RIDERSHIP 30%
CITY SELECTION CRITERIA 21
RIDERSHIP
Sacramento
Baltimore
Dallas
San Diego
Boston
San Francisco
Washington
10
Houston
Philadelphia
SAN ANTONIO
PHASE 3
Phoenix
HOUSTON
Los Angeles
AUSTIN
PHASE 2
Chicago
PHASE 1
New York
0
SAN ANTONIO FT WORTH DALLAS
TOTAL NUMBER OF ANNUALTOTAL DOMESTIC VISITORS - 28, 500, 000 VISITORS - 39, 668, 221 NUMBER OF ANNUAL DOMESTIC 29 TOTAL NUMBER OF28 ANNUAL DOMESTIC VISITORS - 28, 500, 000
2.3
3.5 3.5
3.4 3.4
3.3 3.3
Chicago Chicago
Fresno Fresno
Seattle Seattle
2.8 2.8
LasLas Vegas Vegas
3.9 3.9
Sacramento Sacramento
4.7 4.7
Phoenix Phoenix
NewNew YorkYork Honolulu, HI
% ADULTS WHO VISITED VEGAS
7.4 7.4
NewNew YorkYork
1.4 1.4
SanSan Diego Diego
1.6 1.6
8 8
14
SanSan Francisco Francisco
1.6 1.6
2.7
OFJersey ANNUAL DOMESTIC VISITORS - 16, 200, 000 Sacramento SF - Oakland LA - LongTOTAL D.C. - Virginia BeachNUMBER NY - New TOTAL NUMBER OF ANNUAL DOMESTIC VISITORS 16, 200, 000 - San Jose - Santa Ana - Maryland - Long Island - Stockton
LA county LA county
1.9 1.9
15
Albuquerque, NM
2 2
Tucson, AZ
2.4 2.4
UtahUtah Phoenix, AZ
17
2.8
4.7
11.8 11.8
San Francisco, CA
20
Illinois Las Illinois Vegas, NV
21
Oregon Oregon San Diego, CA
22
Colorado Colorado Bakersfield, CA
Nevada Nevada Los Angeles, CA
6 6
% TOP 10 FEEDER MARKETS - LOS ANGELES 34
26.4
TOTAL NUMBER OF ANNUALTOTAL DOMESTIC VISITORS - 28, 500, 000 VISITORS - 39, 668, 221 NUMBER OF ANNUAL DOMESTIC
nd Travel Ground Travel 42% 42%
3.5
3.4
3.3
2.8
Fresno
Seattle
Las Vegas
LAS VEGAS LAS VEGAS
3.9
Chicago
Phoenix
New York
San Diego
San Francisco
By Air 42%
By Air 42%
By Air 51%
Others 28%
Others DATA 28% ON DOMESTIC TOURISM FOR CITIES- LAS VEGAS, L.A., S.F., SAN DIEGO 13.3
Albuquerque, NM
Oregon San Diego, CA
17
15 LOS LOS Ground Travel14 Ground 49% By Air 49 1.6 1.4 ANGELES 51% ANGELES
San Francisco, CA
Colorado Bakersfield, CA
20
By Air 35%
SAN DIEGO SAN DIEGO Ground Travel Ground Travel 60% 60%
By Air 58%
TOTAL NUMBER OF ANNUAL DOMESTIC VISITORS - 28, 500, 000
22
21
Tucson, AZ
1.9 51%1.6
Texas Salt Lake City, UT
Nevada Los Angeles, CA
2
SAN SAN LOS LOS Ground Travel Ground Travel 49% Ground Travel 49% FRANCISCO Travel ANGELES FRANCISCO ANGELES14% Ground By Air 14% 19.5
28%
By Air
2.4
By Air 51%
58%
Others
22
Others 28%
34
MODE OF ARRIVAL
22
% TOP 10 OVERNIGHT VISITORS - SAN DIEGO
Sacramento
% TOP 10 FEEDER8 MARKETS - SF 7.4
6
Ground Travel Ground Travel 42% 42%
N. California
OFJersey ANNUAL DOMESTIC VISITORS - 16, 200, 000 Sacramento SF - Oakland LA - LongTOTAL D.C. - Virginia BeachNUMBER NY - New - San Jose11.8 - Santa Ana - Maryland - Long Island - Stockton
4.7
By Air 42%
LAS VEGAS LAS9.4VEGAS
2.3
Arizona
4.7
2.7
S. California
2.8
24
New York Honolulu, HI
By Air 42%
13.3
19.5
28
Utah Phoenix, AZ
29
Illinois Las Vegas, NV
TOTAL NUMBER OF ANNUAL DOMESTIC VISITORS - 16, 900, 000
LA county
N. California N. California
9.4 9.4
22
Texas Texas Salt Lake City, UT
24
19.5 19.5
Others 5%
By 35
Others 5%
TOTAL NUMBER OF ANNUAL DOMESTIC VISITORS - 16, 200, 000 11.8 8
7.4
Reasons for Fatal Accidents
By Air “I-15on First in Most &Dangerous Highways in America” - Popular Mechanics Data Accidents Fatalities on 4% I-15 Corridor MoreCalifornia-Nevada than 8 million people drive back and forth from southern Nevada
California
to
Taxi/ Bus/ Shuttle /Rental Car southern 8%
96% Ground Travel
5 year period Death toll of 173 1994
Walked 32%
3hrs
Speeding
4-5hrs
Driving
$35 fuel
96% Ground Travel
$80 one way/ $120 round trip 5-6hrs
GotoBus
$25 to $40
9 buses/ day
5.5-6hrs
Megabus
$40 to $50 ($1 if you reserve well in advance)
4 buses/ day
$40 to $70
10 buses/ day
50 accidents/ month 5 fatalities/ 5 year period year
2004
Average Daily Auto Traffic - All major highways to Vegas 15 year period 97,423 50 accidents/ month No. of accidents : 834 Average Daily AutoNo. Traffic - I-15: 1,069 at CA/ NV border 5 fatalities/ year of fatalities 39, 317 (~43%) 2014
2008
Own Vehicle 50 accidents/ month 60% 5 fatalities/ year
Average Daily Auto Traffic I-15 at NV/ CA border
43%
Weekends L.A. L.V. Friday morning - late Friday night
L.V. Sunday 12pm - 8 pm
r
Time and Days of Flow of Traffic between the two cities
Holiday weekends
h
6-8hrs 6-8 hrs
L.A.
6-8hrs
Amtrak
60%
25%
L.A.
5-7hrs
Greyhound
Walked 32%
speed limit
2014 Own Vehicle
2004
15 year period No. of accidents : 834 No. of fatalities : 1,069
Once a day
Drinking & Driving
$190 <11mph over
4.5-5hrs
Shuttle
25%
No Seatbelts
2000
Non- Stop Taxi/ Bus/ Shuttle5 year period Death toll of 173 /Rental Car 1994 8% 2000
limit
Walked Death toll of 173 Costs of 2008 Speeding 1994 32% Reasons for Fatal Accidents Tickets
Data on Accidents & Fatalities on I-15 California-Nevada Corridor
By Air 4%
50%
2008 Data on Accidents & Fatalities on I-15 California-Nevada Corridor 2004 2000
No Seatbelts 15 year period Drinking & Driving No. of accidents : 834
Frequency Frequency
$180 to $550
$310 11-20 mph over speed
5 year period Death toll of 173
No. of fatalities : 1,069
early arrival and baggage pickup
Flights
43% Taxi/ Bus/ Shuttle 33% /Rental Car
Speeding 8%
96% 1994 Ground Mode of Arrival Travel 33% 50%
50 accidents/ month 5 fatalities/ year
Drinking & Driving
I-15 at NV/ CA border
Reasons for Fatal Accidents
speed limit
25%
No Seatbelts
4%
DATA ON ACCIDENTS AND FATALITIES ON I-15 CA/NV CORRIDOR Time Cost Time Cost 1h10m
50%
Data on Accidents & Fatalities on By Air I-15 California-Nevada Corridor
2004
15 year period No. of accidents : 834 No. of fatalities : 1,069
$400 >21mph over
Reasons for Fatal Average DailyAccidents Auto Traffic
Own Vehicle 60%
2014
2008 2000
Mode of Local 33% Transport Speeding
L.V. 10-12hrs 10-12 hrs
$55
COMPARISON OF AVAILABLE OPTIONS OF TRANSPORT TO VEGAS FROM L.A.
Twice a day
L.A.
L.V.
DATA ON EXISTING MODES OF TRAVEL FROM L.A. TO VEGAS 23
LAND USE POLICY There are many solar farms and wind turbines that have been identified in the area that falls on the route between L.A. and Vegas.
LAS VEGAS
4
DEATH VALLEY NATIONAL PARK
5
1 MOJAVE B RANGE
MOJAVE NATIONAL PRESERVE
2
EDWARDS AFB
FEDERAL LANDS
6 3
Bureau of Indian Affairs
7
Bureau of Land Management / Wilderness
MARINE CORPS AIR GROUND COMBAT CENTER TWENTY NINE PALMS
1
Bureau of Reclamation Department of Defense (includes Army Corps of Engineers lakes)
11
LOS ANGELES
JOSHUA TRESS NATIONAL PARK
Reno Fish and Wildlife Service / Wilderness
Reno9
Roseville
SOLAR FARMS
Stockton National Park Service / Wilderness
San Francisco
WIND TURBINES
WILD LIFE CORRIDORS WILD LIFE STUDY AREAS
16
AREAS OF CRITICAL ENVIRONMENT
Fresno
Fresno
WILD LIFE CORRIDORS WILD LIFE STUDY AREAS
CA
Reno Roseville Oakland San Francisco
NV
Stockton
Roseville
Oakland San Francisco
NV
Stockton
Oakland San Francisco
Fresno
CA/ NV RAILROAD & HIGHWAY There is no existing passenger rail Colton Los Angeles connections between the two cities. Colton Los Angeles Colton Los Angeles The freight rail connection is extensive and Long Beach Long Beach Long Beach Amtrak® Train Routes is owned by Union Pacific which has San Diego San Diego San Diego Calexico Calexico PASSENGER RAILROAD stations in both cities. FREIGHT RAILROAD CA
Las Vegas
Amtrak® Train Routes
Calexico
NV
Stockton
Fresno
CA
CA
Reno
Reno
Las Vegas Roseville
Fresno
24
Oakland
SOLAR FARMS
15
NV
Stockton
WIND TURBINES
AREAS OF CRITICAL ENVIRONMENT
Forest Service / Wilderness
12 13
Oakland San Francisco
Roseville
14
10
CA
Las Vegas
Las Vegas
Los Angeles Los Angeles
Interstate Highway
Long Beach
Non-interstate Highway Interstate Highway Non-interstate Highway
HIGHWAY
San Diego
Colton
Long Beach San Diego
Calexico
Co
mi
2.28 mi 7.8 mi
14.6 mi
s Min Bend Radius
ph
760 mph
Max gradient for pylons - 6%
from Los from Angeles Los Angeles to to Vegas Las Vegas from Los from Angeles Los Angeles to LasLas toVegas Las Vegas from to from Los Los fromAngeles Angeles Los Angeles to Las LastoVegas Vegas Las Vegas from Las from Vegas Las Vegas to to Angeles Los Angeles from Las from Vegas Las Vegas to LosLos toAngeles Los Angeles from to from Las Las fromVegas Vegas Las Vegas to Los LostoAngeles Angeles Los Angeles
HYPERLOOP ROUTE LIMITATIONS
550 mph
300 mph
Max g
Max Speed
10 pm
9 pm 8 pm
10 pm
6 pm
0
11 11pm pm 11 pm 10 10pm pm 10 pm
99 pm pm 9 pm
pm pm 8 pm 7 pm 889 pm
11 pm
11 pm
1 am
00 0
3 am 33 am 3amam 4am
1 am
000
3 am
2 am 2 am 2 am
55am am 5 am 3 3am 43am amam
6 am
8 pm 8 pm pm 8 pm 6675pm 6pm pmpm
66 am 6am am
4 am 4 am 54 am 7 am
7 pm 7 pm 7 pm
5 am 5 am 5 am am 7 am 8 am 77am
pm 5 pm pm 6 pm545pm
6 am
pm 4 pm 344pm pm 665pm 6pmpm pm
9 am
2 pm 33 pm pm 3 pm 54 pm 5pm pm 5 pm
10 am 1 pm
22pm pm 2 pm
4pm pm 4 pm 34 pm
12 am
11pm pm 1 pm 2 pm
3 3pm 3pm pm
11 am
6 pm
0
11 11pm pm 11 pm 10 10pm pm 10 pm 10 pm
pm pm 8 pm 7 pm 889 pm
11 pm
11 pm
6 pm
000
66 am 6am am
7 pm 7 pm 7 pm
5 am 5 am 5 am am 7 am 8 am 77am
6 am
pm 4 pm 344pm pm 665pm 6pmpm pm 10 am 1 pm
12 am
22pm pm 2 pm
11 am
3 am
am 4 am 544am
55am am 5 am 3 3am 43am amam
once in 30 sec 6 pm once in 1 min 3 pm 66pm 6pm pm 9 am once in 2 min 33 pm pm 3 pm 99 am am 9 am once in 5 min 12 am 3 pm 9 am 12 1212 am am am once in 10 min 3 3pm 3pm pm 9 9am 9am am Mon-Thur 12 am once in 30 min Mon-Thur 12 12 12 am am am HYPERLOOP TIME TABLE BASED ON DATA COLLECTED Mon-Thur Mon-Thur Mon-Thur Mon-Thur Mon-Thur
0
11 pm
1111 pm 11 pmpm 1010 pm 10 pmpm
9 pm 8 pm
33 am 3amam 4am
1 am 1 am 1 am
3 am
am 4 am 544am
2 am 2 am 2 am
55am am 5 am 3 3am 43am amam
6 am
44pm pm 4 pm pm 5 pm 3
am 8 am 788am
10 10am am 10 am 11 11am am 11 am
2 pm
10 am
1 pm
2 pm 2 pm 2 pm
1 pm 1 pm 1 pm
11 am
1010 am 10 amam 1111 am 11 amam
8 am 8 am 8 am
66 am 6am am
6 am
9 am 10 am 1 pm
22pm pm 2 pm
4pm pm 4 pm 34 pm
12 am
11pm pm 1 pm 2 pm
3 3pm 3pm pm
11 am
12 am Fri-Sat 12 12 12 am am am Fri-Sat Fri-Sat Fri-Sat Fri-Sat Fri-Sat Fri-Sat
1 pm 2 pm 2 pm 2 pm
9 am
10 am
1 pm 1 pm 1 pm
11 am
66am 6am am
7 am 7 am 8am 99 am 9amam7 am
10 10am am 10 am 11 11am am 11 am
12 1212 am am am
1 pm
12 am
11pm pm 1 pm
11 am
12 am Sun
9 am
10 am
11 am
66am 6am am
am 8 am 788am
7 am 7 am 8am 99 am 9amam7 am
10 10am am 10 am 11 11am am 11 am
12 1212 am am am
1 pm
8 am 8 am 8 am
9 9am 9am am
1010 am 10 amam 1111 am 11 amam
99 pm pm 9 pm
pm pm 8 pm 7 pm 889 pm
6 pm
11 pm
0
11 11pm pm 11 pm 10 10pm pm 10 pm 10 pm
2 am
am 8 am 788am
11 am
10 am
22pm pm 2 pm
4pm pm 4 pm 34 pm
3 am
11am am 1 am
pm 4 pm 5 pm 44pm
11pm pm 1 pm
9 am
2 pm 33 pm pm 3 pm 54 pm 5pm pm 5 pm
10 pm
5 am 5 am 5 am am 7 am 8 am 77am
1 pm
6 am
8 am 8 am 8 am
9 9am 9am am
1010 am 10 amam 1111 am 11 amam
12 12 12 am am am Sun Sun
7 pm 7 pm 7 pm 545pm pm 5 pm pm
22pm pm 2 pm
66 am 6am am
5 am 5 am 5 am am 7 am 8 am 77am
1 pm 1 pm 1 pm
5 am 5 am 5 am am 7 am 8 am 77am
4 pm 4 pm 4 pm
am 4 am 544am
2 am 2 am 2 am
pm 4 pm 344pm pm 665pm 6pmpm pm
2 am
778pm pm 7 pm9 9pm pm 9pm pm
2 pm 33 pm pm 3 pm 54 pm 5pm pm 5 pm
3 am
6 am
2 pm 2 pm 2 pm
7 pm 7 pm 7 pm 545pm pm 5 pm pm
7 am 7 am 8 am 7 am
2 am 1 am 1 am 1 am
7 pm 7 pm 7 pm
9 9am 9am am
4 am 4 am 54 am 7 am
10 am
000
4 am 4 am 54 am 7 am
3 3pm 3pm pm
8 pm 8 pm 7 pm 8 pm 5 pm
2 pm
33 am 3amam 4am
1 am
55am am 5 am 3 3am 43am amam
2 pm
4 am 4 am 54 am 7 am
54 pm 5pm pm 5 pm
3 am
22am am 2 am
0
Sun Sun Sun Sun
1 am
000
2 am 11am am 1 am
pm 5 pm pm 6 pm545pm
22am am 2 am
0
1 am
00 0
778pm pm 7 pm9 9pm pm 9pm pm
1 am
00 0
11 pm
1111 pm 11 pmpm 1010 pm 10 pmpm
1010 am 10 amam 1111 am 11 amam
11 11pm pm 11 pm 10 10pm pm 10 pm
99 pm pm 9 pm
pm pm 8 pm 7 pm 889 pm
11 pm
0
8 pm 8 pm pm 8 pm 6675pm 6pm pmpm
8 am 8 am 8 am
9 am
10 am
12 am Fri-Sat 12 12 12 am am am Fri-Sat Fri-Sat Fri-Sat Fri-Sat Fri-Sat Fri-Sat
1 pm
10 pm
8 pm 8 pm pm 8 pm 6657pm 6pm pmpm
10 10am am 10 am 11 11am am 11 am
12 1212 am am am
6 pm
7 am 7 am 8am 99 am 9amam7 am
11 am
11pm pm 1 pm
3 3pm 3pm pm
8 pm
66am 6am am
am 8 am 788am
9 am
4pm pm 4 pm 34 pm
9 pm
2 am 2 am 2 am
778pm pm 7 pm9 9pm pm 9pm pm
6 am
4 am 4 am 54 am 7 am
2 pm 33 pm pm 3 pm 54 pm 5pm pm 5 pm
99 pm pm 9 pm
pm pm 8 pm 7 pm 889 pm
11 pm
11 11pm pm 11 pm 10 10pm pm 10 pm 10 pm
am 4 am 544am
2 am 2 am 2 am
pm 5 pm pm 6 pm545pm
2 am 1 am 1 am 1 am
3 am
1 am 1 am 1 am
8 pm 8 pm pm 8 pm 6675pm 6pm pmpm
10 pm
33 am 3amam 4am
1 am
8 pm
2 am
000
1 pm 1 pm 1 pm
3 am
33 am 3amam 4am
1 am
55am am 5 am 3 3am 43am amam
2 pm 2 pm 2 pm
22am am 2 am
9 pm
3 am
778pm pm 7 pm9 9pm pm 9pm pm
2 am 11am am 1 am
10 pm
2 am 11am am 1 am
22am am 2 am
0
11 pm
2 pm
9 9am 9am am
1 am
00 0
1111 pm 11 pmpm 1010 pm 10 pmpm
1 am
00 0
0
1111 pm 11 pmpm 1010 pm 10 pmpm
8 am 8 am 8 am
pm pm 8 pm 7 pm 889 pm
1010 am 10 amam 1111 am 11 amam
1 pm 1 pm 1 pm
99 pm pm 9 pm
9 am
10 am
66am 6am am
am 8 am 788am
7 am 7 am 8am 99 am 9amam7 am
10 10am am 10 am 11 11am am 11 am
Mon-Thur 12 am Mon-Thur Mon-Thur 12 12 12 am am am Mon-Thur Mon-Thur Mon-Thur Mon-Thur 1 pm
10 pm
11 am
12 1212 am am am
2 pm 2 pm 2 pm
8 pm
10 pm
am 4 am 544am
0
11 pm
11 11pm pm 11 pm 10 10pm pm 10 pm
99 pm pm 9 pm
8 pm
2 am 1 am 1 am 1 am
778pm pm 7 pm9 9pm pm 9pm pm
9 pm
9 pm
22am am 2 am
0
1111 pm 11 pmpm 1010 pm 10 pmpm
10 pm
2 am 11am am 1 am
11 pm
1 am
00 0
3 am
22am am 2 am
0
1111 pm 11 pmpm 1010 pm 10 pmpm
2 am 11am am 1 am
33 am 3amam 4am
1 am
000
2 am 1 am 1 am 1 am
3 am
am 4 am 544am
2 am 2 am 2 am
778pm pm 7 pm9 9pm pm 9pm pm
55am am 5 am 3 3am 43am amam
6 am
8 pm 8 pm pm 8 pm 6675pm 6pm pmpm
66 am 6am am
4 am 4 am 54 am 7 am
7 pm 7 pm 7 pm
5 am 5 am 5 am am 7 am 8 am 77am
pm 5 pm pm 6 pm545pm
6 am
pm 4 pm 344pm pm 665pm 6pmpm pm
9 am
2 pm 33 pm pm 3 pm 54 pm 5pm pm 5 pm
10 am 1 pm
22pm pm 2 pm
4pm pm 4 pm 34 pm
12 am
11pm pm 1 pm 1 pm 2 pm 2 pm 2 pm
12 am Sun
11 am
9 am
10 am
66am 6am am
7 am 7 am 8am 99 am 9amam7 am
10 10am am 10 am 11 11am am 11 am
12 1212 am am am
2 pm
3 3pm 3pm pm
11 am
am 8 am 788am
8 am 8 am 8 am
9 9am 9am am
1010 am 10 amam 1111 am 11 amam
12 12 12 am am am Sun Sun
1 pm 1 pm 1 pm
Sun Sun Sun Sun
25
once onc on o once onc on on o
13.67s
Deceleration from 300mph to 0
4174 feet
20.98s 15min 760mph
s
Deceler ation fr om 760m Costan ph to 300mph t Speed 300mph
Costan t Speed
760mp h 300mp h to n from
ile
4099 feet
s
Acceler atio
5575 feet
m
A A
4.4min 20.98s
D
m .6 14
Hyperloop Route
s
300mp h
ile 1.12miles
Constan t Speed
ile
80
m
ile
300mph
7.80miles
555mph
14.6miles
760mph
D
Acceler atio
s
C
150mph
2.28miles
4209 feet
s
7.
B
Highway
m .6 14
0mph
i le m .6 14
s 2986 feet
12min
0 to 30
80
ile m .6 14
13.67s
n from
7.
D C Slope>6% Slope>6% Slope>6%
5575ft 4500ft
Slope>6% Slope>6%
B
Slope>6%
A
3750ft 3000ft 2250ft 1500ft 750ft 30mi
60mi
90mi
120mi
150mi
180mi
210mi
LAS VEGAS
240mi
261mi
B
LAS VEGAS
Henderson
Henderson
STRATEGY1: FOLLOWING THE HIGHWAY SYSTEM Mojave National Preserve
Mojave National Preserve
Distance: 292mi Flight
Percentage of Land Type: Urban: 64.0mi 21.9% Mountain: 61.5mi 21.1% Desert: 166.5mi 54.9%
Palmdale
Palmdale
Apple Valley
Santa Clarita
LOS ANGELES
Yucca Valley San Bernardino
Anaheim POLITICAL LAND USE MAP Palm Springs
Bureau of Reclamation Bureau of Indian Affairs Department of Defense Bureau of Land Management National Park Service/Widerness Forest Service/Wilderness Fish and Wildlife Service/Wilderness
ROUTE STRATEGIES - L.A. TO VEGAS Santa Ana
26
X°
Apple Valley
X°
Santa Clarita
X°
LOS ANGELES
San Bernardino
Anaheim Santa Ana
URBAN CONDITION MAP
Yucca Valley
Palm Springs
Urban Area Mountainous Area Desert Area
X°
Slope: Max: 7.2%, -5.2% Avg: 1.5%, -1.1% Highway
X°
Number of Small Curves: 4 Speed Urban/Mountain: 300mph Desert: 760mph X°
Travel Time: 37’52’’ Avg Speed: 463.5mph X°
20.98s
Deceleration from 300mph to 0
7.8 760mp h
300mph
ile
m .6 14 s
m .6 14
ile
s
ile
300mp h
s
s
Constan t Speed
ile
s 4200ft
Costan t Speed
20.98s
0m
Deceler ation fr om 760m ph to 30 0mph
760mph
7.8
Costan t Speed
300mp h to n from
20.98s 20.98s
ile
0mph
s
m .6 14
C
Hyperloop Route Highway
n from
0 to 30
ile
m .6 14
13.67s
Acceler atio
13.67s
0m
20.98s
1.12miles
Acceler atio
3280ft
150mph
2.28miles
300mph
7.80miles
7.
80
D
555mph
m
ile
s
D 14.6miles
5250ft
760mph
B
B
Slope>6%
Slope>6%
4500ft 4335ft 3750ft
C
3000ft
A
2250ft 1500ft 750ft 273ft 30mi
60mi
90mi
120mi
150mi
180mi
210mi
240mi
270mi
300mi
A
Las Vegas
L as Vegas
Henderson
Henderson
STRATEGY2: FOLLOWING THE FREIGHT RAILROAD Mojave National Preserve
Mojave National Preserve
Distance: 320mi Flight
Percentage of Land Type: Urban: 54.7mi 17.1% Mountain: 98.8mi 30.9% Desert: 166.5mi 52.0%
Palmdale
Palmdale
Apple Valley
Santa Clarita Los Angeles
Yucca Valley
San Bernardino
Anaheim Santa Ana
Palm Springs
POLITICAL LAND USE MAP
Bureau of Reclamation Bureau of Indian Affairs Department of Defense Bureau of Land Management National Park Service/Widerness Forest Service/Wilderness Fish and Wildlife Service/Wilderness
X°
Apple Valley
X°
Santa Clarita San Bernardino Anaheim Santa Ana
URBAN CONDITION MAP
X°
Yucca Valley
Los Angeles Palm Springs
Urban Area Mountainous Area Desert Area
X°
Slope: Max: 8.5%, -8.5% Avg: 1.3%, -0.9% Highway
X°
Number of Small Curves: 2 Speed Urban/Mountain: 300mph Desert: 760mph X°
Travel Time: 43’50’ Avg Speed: 438.4mph X°
27
13.67s
Deceleration from 300mph to 0
8min12s
20.98s
300mp h
s
Constan t Speed
s
0mph
2.28miles
ile
0 to 30
300mph
E
Highway 1.12miles
m .6 14
n from
41mile
Hyperloop Route
1279m(4196’) 7.80miles
B
150mph
79.5mile
300mph 555mph
Acceler atio
D
D
61.5mile
C
26mile
Highway
B 14.6miles
9000ft
A
Highway
ile
15min
Costan t Speed
Deceler ation fr om 760m ph to 30 0mph
13.67s
1324m(4344’)
m .6 14
Costan t Speed
Acceler atio
760mph
n from
s
12min31s
i le m .6 14
300mp h to
760mp h
20.98s
760mph
Slope>6% N/A
8000ft 7000ft
C
83.8mile A Highway
6000ft 5000ft 4357ft 4000ft 3000ft 2000ft 1000ft 282ft 0mi
30mi
60mi
90mi
120mi
150mi
180mi
210mi
240mi
270mi
300mi
E
Las Vegas
Las Vegas
Henderson
Henderson
STRATEGY3: FOLLOWING THE FLATTEST ROUTE Mojave National Preserve
Mojave National Preserve
Distance: 311.25 mi Flight
Apple Valley
Santa Clarita
Los Angeles
San Bernardino
Anaheim Santa Ana
POLITICAL LAND USE MAP 28
Percentage of Land Type: Urban: 53.0mi 17.0% Mountain: 39.0mi 12.5% Desert: 219.25mi 70.5%
Palmdale
Palmdale
Yucca Valley
Palm Springs
Bureau of Reclamation Bureau of Indian Affairs Department of Defense Bureau of Land Management National Park Service/Widerness Forest Service/Wilderness Fish and Wildlife Service/Wilderness
X°
Apple Valley
X°
Santa Clarita San Bernardino Anaheim Santa Ana
URBAN CONDITION MAP
X°
Yucca Valley
Los Angeles Palm Springs
Urban Area Mountainous Area Desert Area
X°
Slope: Max: 5.2%, -5.2% Avg: 1.5%, -1.1% Highway
X°
Number of Small Curves: 4 Speed Urban/Mountain: 300mph Desert: 760mph X°
Travel Time: 37’27’’ Avg Speed: 498.0mph X°
Las Vegas
Travel Time Highway Route Freight Rail Route Most Flat Route Most Straight Route Travel Distance Highway Route Freight Rail Route Most Flat Route Most Straight Route Small Curve Highway Route Freight Rail Route Most Flat Route Most Straight Route
ne a eL l y Bic
ne a eL l y Bic
Construction Difficulty Highway Route Freight Rail Route Most Flat Route Most Straight Route
Highway Route Freight Rail Route Most Flat Route Most Straight Route
Los Angeles COMPARISON OF ROUTE STRATEGIES
B
Generate Wind Power
Car Charging Stations
OTHER IMPLEMENTATIONS FOR THE HYPERLOOP TUBE
Bike Path
an L le ic y
e
Tied to Electric Grid 29
HYPERLOOP TUBE STRUCTURAL DIAGRAM 30
HYPERLOOP TUBE
SOUTH FACING SOLAR PANELS
3-D PRINTED PYLON MODULE
REINFORCED CARBON FIBER
HYPERLOOP HYPERLOOP
60’
60’
Module Module
60’
40’
40’ 20’
INTERIOR TUBING
100’
100’
HYPERLOOP HYPERLOOP
100’
80’
100’
80’
Module Module
PRETENSION REINFORCED CONCRETE
14’-4”
14’-4” 14’-4” 0
14’-4” 14’-4” 14’-4” 14’-4” 14’-4”
14’-4” 0
0
14’-4” 14’-4” 14’-4”
40’
40’
20’
20’
14’-4”
80’ 80’
14’-4” 14’-4”0
14’-4”
100’ 100’
PYLON HEIGHT MODULES
14’-4”
60’ 60’
14’-4”
14’-4” 14’-4” 14’-4” 14’-4”
HYPERLOOP TUBE STRUCTURAL COMPONENTS
40’ 20’ 40’ 80’ 80’
14’-4” 14’-4”
20’ 20’ 60’ 60’
40’ 40’ 80’
PILE FOOTINGS
100’ 20’
80’
14’-4”
20’ 20’
00
14’-4”
20’ 20’
14’-4”
100’
14’-4”
HYPERLOOP HYPERLOOP Module Module 14’-4”
20’ 20’ 60’
4’-4”
80’ 40’ 80’ 100’
20’ 60’ 100’
RIB BRACING
31
32
Image : Render of the tube in a desert landscape 33
HYPERLOOP INTERMEDIATE STATION UCLA SUPRASTUDIO | M. ARCH | 2015 INSTRUCTORS: CRAIG HODGETTS, MARTA NOWAK, DAVID ROSS
The brief was to propose and create conceptual designs and provide solutions for operational challenges of the station, amenities and seating within capsule, etc. A. Capsule design: Look into seating and storage layouts to achieve maximum comfort, convenience and efficiency. B. Station design: Refined concepts for the station, including designs for how it will actually operate in terms of passenger circulation, auto and transport links, capsule circulation, etc. This station and capsule design serves the city lying in between two terminal cities. Hence, it differs from other stations in terms of context, ridership and scale.. The design is guided by the mandatory branching of tubes that is caused due to the route and the speed of capsules.
LINKS FOR REFERENCE |Animation https://www.youtube.com/watch?v=IcDtkZ-sH6U 34
Image : Station View 35
Velocity (mph)
760 mph
SAN FRANCISCO 760
550
FRESNO , CA
X
300
Time
0,5 15
30
45
60
75
LOS ANGELES, CA
1,5
(hr)
90
(min)
SAN FRANSISCO, CA
550 mph
760 mph
0 mph 2.28mi
7.80 mi
120 sec
LOS ANGELES
14.60 mi
Velocity (mph)
12 miles
300 mph
12 miles
0
1
300 sec
120 sec
ACCELERATION - DECELERATION SPEED - TIME GRAPH
760 mph
760
550
INTERMEDIATE STATION
STATION CONTEXT
Considering the AYSU terminalUNAL station locations SRUTHI KUMAR ZEYNEP
as San Francisco and Los Angeles, the intermediate station was assumed to be located at Fresno. Capsules will be travelling at their maximum speed at that point of their journey. Hence, branching of the tube has to be taken into consideration. The bend radii and time taken for acceleration and deceleration are used to determine the distances.
FRESNO , CA
TEXT
300
Time
0,5 0
15
30
LOS ANGELES, CA
1 45
60
75
1,5
(hr)
90
(min)
SAN FRANSISCO, CA
SPEED - TIME GRAPH
TUBE BRANCHING
550 mph
760 mph
12
300 mph
les
36
14,6 miles
14,6 miles
14,6 miles
14,6 miles
0,04 miles
CROSSING SECTION
CROSSING SECTION
Preliminary Tube
CROSSING SECTION
Preliminary Tube
0,04 miles
20 miles
CROSSING SECTION
20 miles
2 miles
2 miles 24 miles
24 miles
Secondary Tube
Secondary Tube
s
,6
s
14
,6
ile
m
14
s
ile
ile
,6
m
m
m
ile
s
,6 14
14
14,6 miles
14,6 miles
14,6 miles
14,6 miles
TUBE BRANCHING TUBE BRANCHING BRANCHING DISTANCES
BRANCHING DISTANCE BRANCHING DISTANCE
Estimated Percentage of People Travelling between LA-SF to Stop at the Intermediate Station 30 sec
Estimated Capsule Frequency Comparison
SRUTHI KUMAR ZEYNEP AYSU UNAL
Estimated Fraction of Total People Travelling from Intermediate Station During Rush Hour
ESTIMATED RIDERSHIP
ESTIMATED CAPSULE FREQUENCY
SRUTHI KUMAR ZEYNEP AYSU UNAL
5 min 37
30 sec
1'-6"
1'-6"
x 3'-8"
x
1'-5"
2'-2"
CAPSULE CROSS SECTION
3'-8"
1'-5"
2'-2"
CAPSULE SEATING
1.
2. 5 sec
1.
2. 5 sec
1. 5 sec
3. 5 sec
3. 5 sec
2. 5 sec
1. 5 sec
4. 5 sec
x
5. 5 sec
6. 5 sec
2. 5 sec
5. 1 min
4. 1 min
7. 1 min
5. 1 min
3. 5 sec
PLAN & SECTION
6. 5 2. sec5 sec
1. 5 sec
sec 3.7.55sec
4. 1 min
8. 1 min
ECONOMY CAPSULE Cartridge with End Loading System Commuter capsule: Provides basic comfort but also accommodates as many passengers as possible since it would be an economy capsule that may travelx one way 120° 120° for only upto 15 mins. Inserting capsules from the intermediate branch of tube to the main branch may cause disruptions to the flow of capsules. To 3'-3" 3'-3" avoid this, Rush Hour capsules and cartridges are proposed. There are 3 scenarios 1. Regular hours: One capsule and 4. 5 sec 3. 5 sec cartridge enter and exit the intermediate station at a time. 2. Morning Rush Hours: During morning rush hours there are more people traveling from intermediate city to the main station 3. 5 sec 2. 5 sec (for work purposes) than people traveling back to the intermediate station. Hence, a single capsule with a cartridge arrives at x the station 8. 5 sec and leaves with an addition of a 6. 5 sec rush hour capsule and cartridge. 3. Evening Rush Hours: Reverse of morning scenario. 5. 1 min
6. 5 sec
Regular/ Main Capsule 9. 5 sec
10. 1 min
11. 5 sec
12. 5 sec
Regular/ Main Cartridge with baggage module Rush Hour Capsule
5. 1 min
6. 5 sec
7. 5 sec
8. 5 sec
Rush Hour Cartridge 9. 5 sec
10. 5 sec
4. 1 min
5. 1 min
11. 5 sec
12. 5 sec 13. 5 sec
6. 5 sec
8. 5 sec
7. 5 sec Cartridge Movement
REGULAR CAPSULE SEQUENCE 38
CAPSULE SEQUENCE
R.H. Cartridge Movement
Unloading Passengers Unloading Passengers
R.H. Capsule Movement Cartridge Movement
EVENING CAPSULE SEQUENCE
Cartridge/ Capsule Recharge System
13. 5 sec
Loading Passengers Loading Passengers
SRUTHI KUMAR ZEYNEP AYSU UNAL
REGULAR
1.
2. 5 sec
3. 5 sec
4. 5 sec
1.
2. 5 sec
3. 5 sec
4. 5 sec
1.
2. 5 sec
3. 5 sec
4. 5 sec
5. 1 min
6. 5 sec
7. 5 sec
8. 1 min
5. 1 min
6. 5 sec
7. 5 sec
8. 1 min
5. 1 min
6. 5 sec
7. 5 sec
8. 1 min
5. 1 min
6. 5 sec
7. 5 sec
8. 1 min
9. 5 sec
10. 5 sec
11. 5 sec
12. 5 sec
9. 5 sec
10. 5 sec
11. 5 sec
12. 5 sec
9. 5 sec 1. 1. 5 sec 9.
10. 5 sec 2. 5 sec 2. 55sec 10. sec
11. 5 sec 3. 5 sec 3. 55sec 11. sec
12. 5 sec 4. 5 sec 4. 55sec 12. sec 13. 5 sec
Movement SEQUENCE MORNING RUSH Cartridge HOUR CAPSULE
R.H. Cartridge Movement 2. 5 sec
R.H. Capsule Movement 3. 5 sec
Cartridge Movement
R.H. Cartridge Movement
MORNINGR.H. Capsule Movement
Cartridge Movement
R.H. Cartridge Movement
Cartridge Movement
6. 5R.H. secCartridge Movement 6. 5 sec
1.
CAPSULE SEQUENCE CAPSULE SEQUENCE CAPSULE SEQUENCE CAPSULE SEQUENCE 5. 5 sec 5. 5 sec
R.H. Capsule Movement
MORNING 7. 1 min Movement R.H. Capsule MORNING 7. 1 min MORNING
13. 5 sec Unloading Passengers 13. sec 4. 55sec 13. 5 sec Unloading SRUTHI PassengersKUMAR Unloading Passengers
Loading Passengers
ZEYNEP AYSU UNAL Loading Passengers Loading Passengers
SRUTHI 8. 5 sec KUMAR Unloading Passengers 8. 5 sec
ZEYNEP AYSU UNAL Loading Passengers SRUTHI KUMAR ZEYNEP AYSU UNAL SRUTHI KUMAR ZEYNEP AYSU UNAL
5. 5 sec
6. 5 sec
7. 1 min
8. 5 sec
9. 5 sec 9. 5 sec
10. 1 min 10. 1 min
11. 5 sec 11. 5 sec
12. 5 sec 12. 5 sec
9. 5 sec
10. 1 min
11. 5 sec
12. 5 sec 13. 5 sec 13. 5 sec
EVENING RUSH HOUR CAPSULE SEQUENCE Cartridge Movement Cartridge Movement
R.H. Cartridge Movement R.H. Cartridge Movement
R.H. Capsule Movement R.H. Capsule Movement
Unloading Passengers Unloading Passengers
Loading Passengers Loading Passengers
39
PLATFORM FLOOR PLAN Within the platform, the capsules are rotated 30 degrees so as to be in the same axis as the entrance to the platform/ exit SPLITTING OF TUBES from the escalators, and to keep the Tubes have been further split and sloped circulation direct. up and down for the south and north bound Sliding doors form flexible barrier for the tubes respectively. departure/ arrival circulation. The elevators Passengers exit the capsule and go to the are blocked during departure and the sliding ground level directly, which is the arrivals doors open up to guide the passengers that and pick up zone of the station. arrive at the station to the elevators. Passengers leaving the station enter at the Passengers arriving at the station take 1 mile 3rd level. The external periphery is kept for elevators to the 1st level from where they X the vehicle drop off and automated parking. exit the station.
30
1 mile
R = 2.28 m
R = 2.28 mi
i
X
X
R = 2.28 m
i
30
o
i
R = 2.28 m
i
R = 2.28 m
R = 2.28 mi
Splitting of Tubes in Plan
o
X
DISTANCES FOR SPLITTING OF TUBES Splitting of Tubes in Plan
lvl 4: South Bound Tube South Bound lvllvl3:4:Departures andTube Drop off zone Departures and Drop off zone lvllvl2:3:North Bound Tube lvl 2: North Bound Tube lvl 1: Arrival and Pick up Zone
SECTION XX Section XX
lvl 1: Arrival and Pick up Zone
Section XX
ZONING SLOPING OF TUBES - ELEVATION ZONING 40
LEVELS LEVELS
SRUTHI KUMAR ZEYNEP AYSU UNAL SRUTHI KUMAR ZEYNEP AYSU UNAL
Departure - Arrival circulation Departure - Passenger circulation
STATION DEPARTURE CIRCULATION
Arrival - Vehicle circulation Arrival - Passenger circulation
STATION ARRIVAL CIRCULATION
DEPARTURE PLATFORM CIRCULATION
ARRIVAL PLATFORM CIRCULATION 41
THE ROOF The roof acts like a wrap binding the tubes together. Surfaces continue from the top to the sides to the bottom covering parts of the station and leaving the rest open. The roof is made of metal that reflects the surroundings and two surfaces facing the top have solar panels that respond to sunlight. The bottom surface of the roof has a uniform color painted on to the surface that ends up merging into the road and pavement on the ground level.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10. 42
A. View to common area and south bound platform B. Branched tubes towards the station C. Bus entrance to arrival floor
A.
B.
C. 43
y
x y
PLAN AT 3RD LEVEL
SECTION YY 44
x
y
x
x y
PLAN AT 1ST LEVEL +50’0”
+38’0”
+26’0”
+14’0”
+0’0”
SECTION XX 45
46
Image : Station Aerial View 47
HYPERLOOP TERMINAL
UCLA SUPRASTUDIO | M. ARCH | 2015 INSTRUCTORS: CRAIG HODGETTS, MARTA NOWAK, DAVID ROSS
Site location : East of Union station on the eastern bank of Los Angeles river. Expected to design a Hyperloop station and supporting urban infrastructure. Following numbers can be assumed - Arrival/ departure of one capsule every 30 seconds with a peak capacity of 30 passengers. - Arrival/ departure peak throughput of 3,600 passengers/ hour The proposed station works on a decentralized system where the passengers can access the station only via paths that lead to the station from either identified public transit systems or decentralized parking lots. All the layers of the station are entirely designed based on a grid that comes from the circulation of the capsule and cartridge. The entire system is designed to work like a machine so as to be efficient in circulation and movement. LINKS FOR REFERENCE |Urban Analysis Animation |Projec-
tion Mapping of Urban Analysis |Capsule Circulation Animation
https://www.youtube.com/watch?v=iYfSGwBKi80 https://www.youtube.com/watch?v=9egsucU8LjU https://www.youtube.com/watch?v=KlW8QKOMwPQ
48
Image : View of Departure Platform 49
Public Parking
101
Private Parking Existing Warehouses Existing Warehouses
Public parking proposed to be reprogrammed
E
SITE
LA RIVE
R
Private parking Identified lots for station Identifed lots for station Existing warehouses Existing warehouses that are proposed to be re-programed
Identified Lots & Warehouses
1st ST BRID
GE
Union Station
Proposed station makeover with High speed Rail connection
SITE ANALYSIS SITE ANALYSIS Ridership
SITE BARRIERS The river, bridge, freeway and the road Chinatown (between the site and the residences) are 15,002 being considered as barriers/ walls Civic Center/ surrounding the site. Grand Park Union Station The traffic congestion nodes close to the xx site, and imbalance in infrastructure on 79,123 5,088 xx either sides of the river will only make the ? Little Tokyo/ circulation of an estimated 7000 people Art District per hour to and from the proposed station more difficult.
49,841
SITE ANALYSIS 50
Metro Ridership Data
Proposed Bioclimatic Design
Chinatown
15,002 Civic Center/ Grand Park
Hyperloop Terminal
Art District Union -Station Industrial
area transformed into 5,088 79,123 artist community Hyperloop ? Terminal Little Tokyo/ Art District
49,841
SITE
Ridership
Piggyback Yard
Boyle Heights - Lower Income Working Class - Mexican Americans - 100,000 residents
SITE ANALYSIS Traffic Flow - Peak Hours - 6 pm
SITE ANALYSIS Flow - Peak Hours - 6 pm SITE Traffic ANALYSIS
SITE ANALYSIS Flow - Peak Hours - 6 pm SITE Traffic ANALYSIS
Traffic Flow - Peak Hours - 6 pm
Traffic Flow - Peak Hours - 6 pm
xx
xx
xx
xx
xx
xx
FAST FAST
SLOW SLOW
Traffic Flow Analysis - 9am
xx
FAST
SLOW
FAS
STATION LOCATION Proposed solution to the identified Pathways Connecting problems - Decentralizing the circulation. Decentralized Locations which can happen in two ways 1. Connecting existing public transport systems to our station 2. Decentralized parking lots that connect Even Accessibility to directly to our station. Decentralized Locations To achieve this, the most practical solution for the location of the station was chosen to be above the river, right at the center of the site. The river is now viewed FAST FAST EVEN ACCESSIBILITY as connection rather than a barrier. Station Location TO Congestion
Traffic Flow Analysis - 6pm
Congestion Congestion Congestion
SLOW SLOW
DECENTRALIZED SPOTS
Congestion
NORTH BOUND
Chinatown
Chinatown
HIGH DENSITY/ HIGH DENSITY/ ACCESSIBILITY ACCESSIBILITY
SITY/ LITY Union Station
EAST BOUND
Civic Center /Grand Park
Union Station
Little Tokyo/ Art District Pershing Square
LOW DENSITY / ACCESSIBILITY
Higher Concentration
HIGH DENSITY/ ACCESSIBILITY Chinatown
Civic Center /Grand Park
Union Station
Little Tokyo/ Art District Pershing Square
LOW DENSITY / ACCESSIBILITY LOW DENSITY / Pico Aliso ACCESSIBILITY
+50.00’
LOW DENSITY / ACCESSIBILITY
Pico Aliso
+14.00’ Rail Connections
Bus routes
Bus routes
SOUTH BOUND Amount of passenger
Metro Connections
Amount of passenger
NORTH BOUND Union Station
Civic Center CONSIDERING TUBES /Grand Park
NORTH BOUND
300’
SLOPE
Chinatown
HIGH DENSITY/ ACCESSIBILITY
nion Station
HIGH DENSITY/ ACCESSIBILITY EAST BOUND
SOUTH BOUND
Bus Connections
HIGH DENSITY/ ACCESSIBILITY
ACCESSIBILITY Pershing Square
Union Station
Union Station Union Station Civic Center /Grand Park
LOW BIKE Little Tokyo/ ACCESSIBILITY LOW DENSITY / Art District LOW DENSITY / Pershing Square ACCESSIBILITY Pico Aliso ACCESSIBILITY
LOW DENSITY / ACCESSIBILITY Civic Center /Grand Park
HIGH DENSITY/ ACCESSIBILITY Civic Center /Grand Park
Chinatown
Chinatown Little Tokyo/ ArtHIGH DistrictDENSITY/
Little Tokyo/ Art District Pershing Square
EAST BOUND Pico Aliso
Pico Aliso
Union Station Bike dedicated lanes Bus routes Bicycle-friendly roads Amount of passenger
Bus routes
SOUTH BOUND
TRANSPORT SYSTEM OVERLAY
Bike lanes
Amount ofTokyo/ passenger Little Art District Pershing Square
Pico Aliso
LOW DENSITY / ACCESSIBILITY
Lower Concentration Bike dedicated lanes Bicycle friendly roads Bus Routes Density of bus passengers 51
5 MIN
5 MIN
5 MIN 2 MIN 1 MIN
2 MIN 1 MIN 1 MIN
2 MIN 1 MIN
2 MIN 11 MIN MIN
1 MIN 2 MIN
2 MIN
1 MIN 5 MIN
1 MIN
5 MIN 2 MIN
5 MIN 2 MIN
1-2-5 MIN1-2-5 MIN DECENTRALIZED CONNECTIONS 52
by walking
by walking
by bike
by bike
2 MIN
by EV autonomus cars by EV autonomus cars
1-2-5 MIN by walking by bike by EV autonomus cars
UNION STATION
LA RIVER
RIVER AS A BARRIER
SITE
101 FREEWAY
SITE
SITE
Rail Tracks
RIVER AS A CONNECTION
SITE AND ITS SURROUNDINGS
ADAPTATION OF PATHWAYS TO THE SITE
DECENTRALIZED CONNECTIONS Busiest transit stops were identified around the site that fell within areas that were approachable by walk, bikes or small Emâ&#x20AC;&#x2122;s. Unused warehouses and parking lots were also identified within that area to decentralize the parking. Connecting all of these are pathways that run along the river and branch out when necessary. 53
Tubes through freeway
Tubes through sides of freeway
A. Tubes above freeway
SECTION ANALYSIS SECTION ANALYSIS SECTION ANALYSIS SECTION ANALYSIS
SECTION ANALYSIS DETAIL A
54
Rail Tracks
+-0.00’
+14.00’ +14.00’
+-0.00’ +-0.00’
+14.00’
+-0.00’
Tubes through freeway
+-0.00’ +-0.00’
+14.00’ +14.00’
+-0.00’
+14.00’
+50.00’
+14.00’ +14.00’
+-0.00’ Tubes through sides of freeway
+50.00’ +50.00’ +50.00’
+14.00’
Tubes above freeway
SECTION ANALYSIS SECTION ANALYSIS SECTION ANALYSIS
SECTION ANALYSIS
TUBE SECTION STUDY 3 sections for the tube were studied in relation to the freeway and bridge. Having the tubes pass over the freeway and bridge keeps the option of retaining the railway tracks in case of future requirement for connectivity to the station and encourages circulation under the tubes. 55
Air Lock
Air Lock
sul
eC
Car
trid
120
ge
o
ircu
lat
DEPARTURES
o
Car
trid
ge
1.
Cir
cul
T-1
60
Cir
trid
ge
trid
ge
on1
T-1
ati
on2
T-2
Cir
cul
T-3
Car
ati
cul
T-2
Car
ion
Cir
ati
on3
T-3
cul
T-4
ARRIVALS
Cap
6.
ati
on4
T-4
Air Lock
Incase of Future Expansion
Air Lock
CAPSULE - CARTRIDGE CIRCULATION SEQUENCES 56
11.
2.
3.
4.
5.
7.
8.
9.
10. Capsule Circulation Cartridge Circulation Departure Passengers Arrival Passengers Capsule Cartridge
CAPSULE CIRCULATION The entire circulation is designed on a grid that follows the circulation of the capsules and the cartridges. This circulation shows the 30 second 12.
13.
14.
frequency scenario. 57
PATHWAYS ROOF Proposed pathways connect various identified decentralized locations to a continuous The roof is a semi open structure with cut outs in the open areas to make them lighter. path that run along either sides of the river within the site area. A bridge at the end of It consists of metal plates connected together. The roof weaves along the station, the station connects either sides of the river and also gives accessibility to the paths. along the grid that is set by the capsule and cartridge circulation. 58
TOWER The final roof plate ends at an observation tower. This towerâ&#x20AC;&#x2122;s primary function is to provide navigation to all the paths that have been connected to the decentralized zones, apart from also giving a 360 degree view of downtown LA.
LANDSCAPE A landscape design has been proposed on the site, that also follows the grid. This is done to encourage activities that will help the communities at Boyle Heights residential area, and also as a waiting/ spillover and recreational area for the station. 59
1. RIVER
2. TUBES
5. PRIMARY STRUCTURES
6. ARRIVAL/ DEPARTURE PLAZAS
9. ROOF
STATION LAYERS
60
10. TOWER
3. AIR LOCK
4. CAPSULE/ CARTRIDGE CIRCULATION BRIDGES
7. ARRIVAL/ DEPARTURE PLATFORMS
8. SERVICE AREAS
11. LANDSCAPE
12. THE TERMINAL 61
Mechanical Circulation Human Circulation
Departures Arrivals
CIRCULATION DIAGRAMS 62
Cartridge Circulation
INSTANTANEOUS POPULATION AT 15 MINS
#
50% OF PARKINGS WOULD BE LOCATED Pe THE DECENTRALIZED d Bik estr e c ian ircu LOCATIONS a lat nd i Au to
ma Par ted B kin ike g
2000
#
400
4’5” 11 4’4’ 11 4’5”
Ticket Conuter
on
AREA: 7000 sq.ft Bike Path Au to
ma Par ted B kin ike g
#
AREA: 15000 sq.ft
4’5” 11 4’4’ 11 4’5”
Ticket Conuter
(15 mins)
ESTIMATED INSTANTANEOUS POPULATION GROUND PLAN - DETAIL
#
2000
Auto EV Circulation
Pe d Bik estr e c ian ircu an lat d ion
600
INSTANTANEOUS POPULATION AT 15 MINS
Pedestrian Circulation
50% OF PARKINGS WOULD BE LOCATED
NO AUTOMOBILE ZONE The paths consist of lanes for bikes, EV’s (provided by the terminal) and for walking. 63
A.
B.
D.
E.
A. View of tower from the path B. View from departure platform to ground C. Departure platform D. Arrival platform E. View from arrival platform to ground F. Arrival plaza
STORY BOARD 64
C.
F. 65
SITE PLAN
66 0’0”
y DEPARTURE PLAZA 0’0”
DEPARTURE PLAZA 0’0”
ZA
URE PLA
0’0”
DEPART
x DEPARTURE PLATFORM +20’0”
PLAZA
0’0”
ARRIVAL
ARRIVAL PLATFORM +20’0”
0’0”
-30’0”
GROUND LEVEL PLAN
ARRIVAL PLAZA 0’0”
ARRIVAL PLAZA 0’0”
y
x
0’0” 0’0”
-30’0”
0’0”
-30’0”
PLATFORM LEVEL PLAN
4’5”
11’
4’ 4’
11’
11’
GROUND LEVEL MODULE DETAIL
4’ 4’
11’
4’5”
PLATFORM LEVEL MODULE DETAIL
SECTIONAL DETAIL MODEL
SECTION XX
-30.00 67
B.
A.
SECTION YY 68
C.
D.
E.
F.
G.
+40.00 +20.00 0.00
-30.00
69
Image : Departure Plaza 70
H.
I. A. Physical model showing aerial view B. Detail Sectional model with 3D printed structures C. Detail section model top view D. Render showing station structure at a conceptual stage E. View of tower from the path F. View from departure platform to ground G. Departure platform H. Arrival platform I. View from arrival platform to ground J. Arrival plaza
J. 71
72
Image : Station Aerial View 73
PLUG - IN LA
UCLA SUPRASTUDIO | M. ARCH | 2014 INSTRUCTORS: CRAIG HODGETTS, MARTA NOWAK, DAVID ROSS
Site location : West L.A. The project started with a research of existing and proposed electric cars and electric charging technologies, projected technological advancements and utopian visions related to the electric and autonomous vehicles. Next, an urban analysis was done for a sub-region within L.A. : West L.A. which included neighborhoods Venice, Mar Vista, Marina Del Rey, Playa Vista, Playa Del Rey and Westchester. Finally, a network of charging stations was proposed for now and the next decade and an ultimate site was determined to serve as an ideal test case for stationary charging stations. Proposal Vehicles that dispatch from metro stations, pick up the user when called and return to the station. Instead of charging on a grid, they charge independently by the sun. They continuously traverse the roof of each station, which is optimized for solar radiation exposure and return to the ground plane when called. These hubs are designed to interface between human and autonomous movement. LINKS FOR REFERENCE |Evolo Website |Animation http://www.evolo.us/architecture/autonomous-west-la/ https://vimeo.com/106527583 74
Image : EV charging roof surface 75
NUMBER OF VEHICLES IN HOUSEHOLDS HH WITH 4 VEHICLES
5.08%
40.47%
8.01%
2.53%
10
FWY
Y
HH WITH 3 VEHICLES
FW
HH With 2 VEHICLES
5
HH With NO Vehicles HH With 1 Vehicle
40
& Over 1.7% 85 & Over851.7% Under 55.4% years 5.4% Under 5 years 75 -3.7% 84 yrs 3.7% 75 - 84 yrs - 9 yrs 4.2% 5 - 9 yrs54.2% 85 & Over 1.7% 65 -6.4% 74 yrs 6.4% 10 -3.9% 14 yrs 3.9% 65 - 74 yrs Under 5.4% 10 -514years yrs 75 - 84 yrs 3.7% 515- 9- 17 yrs 4.2% 15 - 17 yrs 2.4% yrs 2.4% 65 - 74 yrs 6.4% 10 - 14 yrs 3.9% 15 - 17 yrs 2.4%
40
- 64 yrs 55 - 6455yrs 11.3% 11.3% 55 - 64 yrs 11.3% - 54 yrs 45 - 5445yrs
5
- 24 yrs 18 - 2418yrs 9.9%189.9% - 24 yrs 9.9% - 34 yrs 25 - 3425yrs 14.1% 14.1% 45 - 54 yrs 19.4% 19.4% 25 - 34 yrs 14.1% - 44 yrs 35 - 4435yrs 19.4% 17.6% 17.6% 35 - 44 yrs
FW Y
17.6%
MEDIAN MEDIAN AGE AGE MEDIAN AGE MEDIAN INCOME MEDIAN INCOME MEDIAN INCOME
35 35 35 $67,647 $67,647 $67,647
43.91%
LOCAL COLLECTOR ARTERIAL
105 FWY
LOCAL COLLECTOR ARTERIAL
NUMBER OF VEHICLES IN HOUSEHOLDS (HH)
ROAD NETWORK
105 FWY ROAD
MEANS OF TRANSPORTATION TO WORK
MEANS OF9% TRANSPORTATION TO WORK DROVE ALONE CAR POOLED
6%
PUBLIC TRANSPORT (INCDROVE CAB) ALONE MOTORCYCLE CAR POOLED
9%
6%
76%
28,341
12,132
39,480
49,182
4,994
Mar Vista
Playa Vista
12,117
8,178
8,888
BICYCLE PUBLIC TRANSPORT WALKED (INC CAB) MOTORCYCLE OTHER MEANS WORKED BICYCLEFROM HOME
76%
OCCUPIED HOUSING UNITS OCCUPIED HOUSING UNITS OCCUPIED HOUSING UNITS LESS THAN HIGH SCHOOL HIGH SCHOOL SOME COLLEGE
MASTERS DEGREE OR HIGHER
of residents 25 older and older of residents 25 and 49.3% 49.3% a four-year have ahave four-year degreedegree 25 and older 49.3% ofhaveresidents a four-year degree EDUCATION
LESS THAN 5 MINS 5 TO 14 MINS
9%
6% 9%
20%
27%
27% 35%
TRAVEL TIME TO WORK EDUCATION NEIGHBORHOOD DEMOGRAPHICS EDUCATION 76
OTHER MEANS WORKED FROM HOME
6% TRANSPORTATION TO WORK MEANS OF 20%
35% BACHELORâ&#x20AC;&#x2122;S DEGREE
WALKED
Venice
Playa del rey
Westchester
Marina del rey
POPULATION
15 TO 29 MINS 30 TO 44 MINS LESS THAN 5 MINS 45 TO 59 MINS 5 TO 14 MINS 60 TO 80 MINS 15 TO 29 MINS 90 OR MORE MINS 30 TO 44 MINS
45 TO 59 MINS 60 TO 80 MINS 90 OR MORE MINS
10,807
4,479
POPULATION DENSITY
3,744
10,075
10
FWY
10
FWY
5 40
5 40
12%
55 - 64
25% 34%
45 - 54 23%
35 - 44
NUMBER OF WORKERS WHO CARPOOL 2006-2010
NUMBER OF WORKERS WHO DRIVE ALONE 2006-2010
-AMERICAN COMMUNITY SURVEY
-AMERICAN COMMUNITY SURVEY
= 50 CARS
6%
25 - 34 18 - 24
Y
Y
FW
FW
65 & Over
= 50 CARS
1% 105 FWY
105 FWY
NO. OF PEOPLE WHO CARPOOL
AGE
NO. OF PEOPLE WHO DRIVE ALONE
80
80
2%
$49,999 or less
10%
$50,000 to $99,999
No. of Cars
No. of Cars
18%
$100,000 to $149,999 $150,000 or more
20%
unknown
50% No. of Parking Spaces
No. of Parking Spaces
0
50
1
2
3
4
61
72
83
4
5
6
7
8
ESTIMATES OF PARKING SPACES IN THE APPROXIMATE ESTIMATES APPROXIMATE OF PARKING SPACES IN THE U.S. -“The New York Times” -“The New York Times” U.S.
HOUSEHOLD INCOME
70
70
60
60
50
50
40
40
30
30
20
20
10
10
0
0 Cities in U.S. L.A.
Cities in U.S. L.A.
OF SHARE LAND DEVO PERCENTAGE OF SHARE OFPERCENTAGE LAND DEVOTED TO THE OF CAR -“Michael Manville & Donald Shoup” -“Michael Manville & Donald Shoup”
spaces = 4 x Area of 2 billion parking spaces =24billion x Areaparking of Connecticut & Vermont Connecticut & Vermont
High School or Less
1% 6%
Some college, no degree Associate degree Bachelor’s Degree Graduate Degree
3% 33% 57%
EDUCATION LEVEL
IDENTIFIED PARKING LOTS
EV OWNERS DATA
PARKING DATA PARKING = 20% 0’
500’
1000’
77
SITE CONTEXT - SURROUNDING ROADS Location of the site is an existing car showroom which emphasizes the redundancy of personal vehicles and land dedicated to the cars with this proposal. 78
VENICE
MARINA DEL REY MAR VISTA
SITE CONTEXT - AERIAL VIEW The young and affluent neighborhood can embrace this technology and infrastructure, at the same time making EV technology
PLAYA VISTA
accessible to the lower income population .
POTENTIAL GREEN SPACES This design aims to eliminate the need for parking and give the land back to the city. 79
AUTO EVâ&#x20AC;&#x2122;S AT METRO DISPATCH CENTERS Dispatch centers for proposed fleet of autonomous vehicles are located at metro stops which determine its network boundaries.
DISPATCH CENTERS METRO LINES NETWORK BOUNDARIES
METRO NETWORK IN THE AREA The network is envisioned to be interlaced with existing and proposed metro stops. METRO
AUTONOMOUS CHARGING / NETWORKED INTELLIGENCE The design explores the relationship between an autonomous and a networked society. 80
PHOTOVOLTAIC CELLS EXPANDABLE EXOSKELETON accomodates various inclination angles of the grade and for user
PROPOSED AUTONOMOUS EV’S The autonomous EV’s consist of PV cells. They traverse along a surface and charge
NETWORK INTELLIGENCE BASED COMPUTING
CONCEPT MODEL
THE EV
themselves.
1. 3.
2..
CONCEPT MODEL The auto EV’s traverse along a surface that has been designed for optimal solar radiation
1. Solar Powered Auto EV’s 2. Pick up/ drop off zone with activities and amenities 3. Solar and slope optimized surface for maximal charging 81
M2
65
RADIATION CALLA LILY (kWh/m2) LOS ANGELES, CA RADIATION 1 JAN. - 31CALLA DEC. LILY (kWh/m2) LOS ANGELES, CA 1 JAN. - 31 DEC.
KWH/M2 >1132.00
SOLAR RADIATION BASED ON 1018.80 SURFACE ORIENTATION 3D RADIATION CALLA LILY 67 ACE ORIENTATION SOLAR RADIATION COLOR= INTENSITY OF RADIATION BASED ON SURFACE ORIENTATION
16
19
3D RADIATION CALLA LILY COLOR= INTENSITY OF RADIATION
70
21
905.60
KWH/M2 >1132.00 1018.80
KWH/M2
905.60
>1132.00
792.40
1018.80
679.20
905.60
566.00
792.40
452.80 339.60 226.40
792.40
113.20
3D
<0.00
679.20 566.00 452.80 339.60 226.40 113.20
SUN PATH
3D
2
3D
TOTAL RADIATION (kWh/m2) LOS ANGELES, CA 1 JAN. - 31 DEC.
<0.00
PEDESTRIAN/ VEHICULAR CIRCULATION DIAGRAM SOLAR RADIATION ON HORIZONTAL PLANE 679.20 These hubs are designed to interface between human and autonomous movement. To eliminate the dependency on the SOLAR grid, the cars are by PLANE the sun. RADIATION ON charged HORIZONTAL The cars migrate to different areas of the surface that receive optimal radiation during a 566.00 certain time of the day. TOTAL RADIATION (kWh/m2)
LENGTH OF SPIKE= LOS AMOUNT OF RADIATION ANGELES, CA COLOR= INTENSITY 1 OFJAN. RADIATION - 31 DEC.
LENGTH OF SPIKE= AMOUNT OF RADIATION COLOR= INTENSITY OF RADIATION
3
SOLAR RADIATION
4
SOLAR RADIATION
6
SOLAR RADIATION
452.80 SOLAR RADIATION 339.60 226.40 113.20
SOLAR RADIATION
TOTALKWH/M2 RADIATION (kWh/m2) LOS ANGELES, CA >1132.00 1 JAN. - 31 DEC. 1018.80 905.60
SOLAR RADIATION O 792.40
<0.00
ON
M2
LENGTH OF SPIKE= AMOUNT OF RA 679.20 COLOR= INTENSITY OF RADIATION 566.00
00
452.80
0
339.60 226.40
SOLAR RADIATION ON HORIZONTAL PLANE 82
PEDESTRIAN/ VEHICULAR CIRCULATION 113.20 DIAGRAM
339.60 452.80
ORIENTATION ENTATION ENTATION
226.40 339.60 113.20 226.40 <0.00 113.20
RADIATION
<0.00
R RADIATION
TALKWH/M2 RADIATION (kWh/m2) ADIATION
S ANGELES, CA >1132.00
ADIATION JAN. - 31 DEC. 1018.80 LKWH/M2 RADIATION (kWh/m2) 905.60 ANGELES, CA >1132.00 N. - 792.40 31 DEC.
OLAR RADIATION ON HORIZONTAL PLANE 1018.80
NGTH OF SPIKE= AMOUNT OF RADIATION 679.20 905.60 INTENSITY OF RADIATION OLOR=
LAR RADIATION ON HORIZONTAL PLANE
566.00 792.40
452.80 TH OF SPIKE= AMOUNT OF RADIATION 679.20 339.60 R= INTENSITY OF RADIATION
KWH/M2
566.00 226.40 452.80 113.20
>1132.00 1018.80
339.60 <0.00
905.60
226.40
792.40
SOLAR RADIATION
113.20
679.20
<0.00
566.00
SOLAR RADIATION
SHAPING
BOWLING3D SNOOKER
TREE
DIATION
GROUP/COMPETITION SOLAR SOLAR ANALYSIS ANALYSE SHRUB SNOOKER STOMP
SHOOTING RANGE
GREEN SPACE
SPA
AEROBICS
GRASS
SHRUB
FITNESS
BOWLING SNOOKER
TREE
GREEN SPACE
GYM HEALTHY LECTURE
SNOOKER STOMP SHOOTING RANGE CAR PATH
TREE
GREEN SPACE SHRUB
GRASS
GROUP/COMPETITION
AEROBICS
SPA
SKATING
GRASS
FITNESS
FITNESS
GROUP/COMPETITION
CAR PATH
SNOOKER STOMP SHOOTING RANGE
BOWLING SNOOKER
TREE
GREEN SPACE SHRUB
GROUP/COMPETITION
SNOOKER STOMP SHOOTING RANGE
FITNESS
FITNESS
PLOY BOXING SNOOKER CAR EIXT(FROM FWY) NUTRITIONIST INDIVIDUAL GYM SKATING CAR ENTRANCE FREE COMBAY HEALTHY LECTURE (FROM LINCOLN BLVD) PARKOUR SKATE BOARD MUSCLES TRAINING SNOOKER CAR EIXT(FROM LINCOLN BLVD) STOMPPATH SHOOTING RANGE PEDESTRAIN
SHRUB
GROUP/COMPETITION
PEDESTRAIN ENTRANCE & EXIT (FROM LINCOLN BLVD)
SPA
PLOY YOGA SAUNA BOXING PLOY NUTRITIONIST GYM FREE COMBAY HEALTHY LECTURE MUSCLES TRAINING PEDESTRAIN PATH
BOWLING SNOOKER
GRASS
LATIN DANCE
HEALTHY LECTURE
MUSCLES TRAINING DROP-OFF & PICK-UP CAR ENTRANCE(FROM FWY) PEDESTRAIN PATH
INDIVIDUAL
AEROBICS
SHAPING
SPA
PLOY PARKOUR SKATE BOARD LATIN DANCE YOGA SAUNA PLOY BOXING NUTRITIONIST GYM FREE COMBAY HEALTHY LECTURE MUSCLES TRAINING DROP-OFF & PICK-UP CAR ENTRANCE(FROM FWY) PEDESTRAIN PATH SKATING
FITNESS
CAR EIXT(FROM FWY) CAR ENTRANCE (FROM LINCOLN BLVD)
PEDESTRAIN ENTRANCE & EXIT FREE COMBAY (FROM METRO STATION)
CAR EIXT(FROM FWY)
PEDESTRAIN ENTRANCE & EXIT (FROM METRO STATION)
LATIN DANCE
CAR PATH
SHRUB
INDIVIDUAL SPA AEROBICS
GREEN SPACE
SNOOKER STOMP SHOOTING RANGE
SHAPING
GRASS
SHAPING PLOY SHAPING PARKOUR SKATE BOARD
CAR PATH
BOWLING SNOOKER
CAR ENTRANCE (FROM LINCOLN BLVD)
DROP-OFF & PIC
CAR EIXT(FROM LINCOLN BLVD) DROP-OFF & PICK-UP CAR ENTRANCE(FROM FWY) CAR EIXT(FROM FWY) CAR ENTRANCE INDIVIDUAL
CAR ENTRANCE
PEDESTRAIN ENTRANCE & EXIT (FROM LINCOLN BLVD)
CAR EIXT(FROM
PEDESTRAIN ENTRANCE & EXIT (FROM METRO STATION)
CAR ENTRANCE (FROM LINCOLN
(FROM LINCOLN BLVD) SKATING
CAR EIXT(FROM LINCOLN BLVD) PARKOUR SKATE BOARD
CAR EIXT(FROM
PEDESTRAIN ENTRANCE & EXIT (FROM LINCOLN BLVD)
PEDESTRAIN EN (FROM LINCOLN
PEDESTRAIN ENTRANCE & EXIT (FROM METRO STATION)
PEDESTRAIN EN (FROM METRO S
CAR EIXT(FROM LINCOLN BLVD) PEDESTRAIN ENTRANCE & EXIT (FROM LINCOLN BLVD) PEDESTRAIN ENTRANCE & EXIT (FROM METRO STATION)
DROP-OFF & PICK-UP CAR ENTRANCE(FROM FWY) CAR EIXT(FROM FWY) CAR ENTRANCE (FROM LINCOLN BLVD) CAR EIXT(FROM LINCOLN BLVD) PEDESTRAIN ENTRANCE & EXIT (FROM LINCOLN BLVD) PEDESTRAIN ENTRANCE & EXIT (FROM METRO STATION)
GREEN SPACE PUBLIC SPACE
GREEN SPACE PUBLIC SPACE
GREEN SPACE PUBLIC SPACE GREEN SPACE PUBLIC SPACE
INDI
PARKO
DROP-OFF & PICK-UP PLOY CAR ENTRANCE(FROM FWY) YOGA SAUNA AEROBICS SPA PLOY BOXING CAR EIXT(FROM FWY) FITNESS INDIVIDUAL CAR ENTRANCE PLOY SKATING SHAPINGINDIVIDUAL NUTRITIONIST GYM (FROM LINCOLN BLVD) SKATING PARKOUR SKATE BOARD LATIN DANCE YOGA SAUNA FREE COMBAY HEALTHY LECTURE SOLAR RADIATION CAR EIXT(FROM LINCOLN BLVD) PARKOUR BOARD CAR PATH BOXING PLOY SKATE MUSCLES TRAINING DROP-OFF & PICK-UP PEDESTRAIN ENTRANCE & EXIT PLOY SHAPING BOWLING NUTRITIONIST (FROM LINCOLN BLVD) LATIN DANCE YOGA SAUNA CAR ENTRANCE(FROM FWY) PEDESTRAIN PATH GYM TREE
MUSCLES TRAINING CAR PATH PATH PEDESTRAIN
SHRUB
GRASS
GREEN SPACE
AEROBICS
FITNESS
LENGTH OF SPIKE= AMOUNT OF RADIATION COLOR= INTENSITY OF RADIATION
BOXING PLOY NUTRITIONIST FREE COMBAY
LATIN DANCE YOGA SAUNA BOXING PLOY BOWLING NUTRITIONIST GYM BOWLING TREE SNOOKER FREE COMBAY HEALTHY LECTURE GREEN SPACE TREE SNOOKER GROUP/COMPETITION MUSCLES TRAINING SHRUB SNOOKER GRASS PEDESTRAIN STOMP SHOOTING RANGE GROUP/COMPETITION AEROBICS SPA PATH
GROUP/COMPETITION
SNOOKER STOMP SHOOTING RANGE
GREEN SPACE
TREE
SHRUB
GRASS SHAPING SOLAR ANALYSE PLOY LATIN DANCE YOGA SAUNA
CAR PATH
TION
226.40
AEROBICS SPA 113.20 FITNESS PLOY SHAPING INDIVIDUAL <0.00 SKATING LATIN DANCE YOGA SAUNA PARKOUR PLOY SKATE BOARD BOXING NUTRITIONIST GYM SLOPE ANALYSIS FREE COMBAY HEALTHY LECTURE 1 JAN. - 31 DEC. GROUP/COMPETITION MUSCLES TRAINING SLOPE ANALYSIS SNOOKER PEDESTRAIN PATH STOMP SHOOTING RANGE SOLAR RADIATION ON HORIZONTAL PLANE
SLOPE ANALYSIS
GREEN SPACE GRASS
339.60
PLOY LATIN DANCE YOGA SAUNA PLOY BOXING NUTRITIONIST GYM FREE COMBAY HEALTHY LECTURE CAR PATH MUSCLES TRAINING BOWLING PEDESTRAIN TOTAL RADIATIONPATH (kWh/m2) TREE LOS ANGELES,SNOOKER CA
CAR PATH
SOLAR ANALYSIS
452.80
SPA
AEROBICS
POSSIBLE AMENITIES A vehicle dispatches from proposed metro stations that pick up user when called, then return to the station.
GREEN SPACE
PUBLIC SPACE
GREEN SPACE PUBLIC SPACE
PROGRAM CONCEPT PROGRAM CONCEPT
Amenities are proposed under the roof. PROGRAM CONCEPT
PROGRAM CONCEPT
83
MORNING SEQUENCE
SECTION 1 84
AFTERNOON SEQUENCE
EVENING SEQUENCE
SECTION 2 85
2
1
2
1
GROUND PLAN 86
A. 87
B.
D. 88
C.
E.
F.
A. Aerial view B. Roof view C. Autonomous EVâ&#x20AC;&#x2122;s on Abbot Kinney Blvd D. Entrance view 1 E. Interior/ skateboarding area view F. Entrance view 2 G.
G. CNC final model 89
90
Image : Entrance View 91
TRANSFORMABLE GARAGE WALL UCLA SUPRASTUDIO INSPIRED BY: BMW
| M. ARCH
| 2015
An assigned company had to be researched for their current trends, future goals, core values, etc and connections had to be found with the discipline of architecture. The final goal was to prepare a pitch for the company with a proposal for that company, related to architecture. Assigned company : BMW Proposal : Transformable Garage Walls For a brand like BMW that resonates luxury and cutting edge technology, it is only justified that we make the cars sit in more luxurious spaces that reflect the car, its owner and the ownerâ&#x20AC;&#x2122;s needs. This thought led to the idea of BMW transformable garage walls. A wall that transforms to serve the car and its owner and does so in style. The wall adopts the aesthetics of the car and reflects its colors and materials, hence making the garage an extension of the car. As a context, the following design has been done for the garage of an uber luxurious i8 owner in Los Angeles who is a well known rapper and singer. The garage keeps in mind the features of the car and predicts what the owner would need with a feature like the transformable wall and responds to it. 92
Image : Front View of Garage and Wall 93
ssible functions for the panels Electric Charger Cleaning Supplies with Work Bench
Possible functions for the panels
the Car
ELECTRIC CAR CHARGER ELECTRIC CAR CHARGER ELECTRIC CAR CHARGER the Space
FOR THE CAR FOR THE CAR FOR THE CAR
Space Dividers and Partitions
Possible functions for the panels
Possible functions for the For panels the Car
Electric Charger Cleaning Supplies with Work Bench ELEVATION SHOWING GRID FOR WALL DESIGN
Electric Charger
Entertainment Mini Bar Kitchenette the Owner System Electric
Cleaning Supplies Charger with Work Bench
For the Car
For the Car
Cleaning Supplies with Work Bench PARTITIONS
PARTITIONS PARTITIONS / SPACE DIVIDERS
FOR THE SPACE FOR THE For SPACE the Space FOR THE SPACE
For the Owner
For the Space
Space Dividers and Partitions
For the Space Entertainment Mini Bar Kitchenette System
Space Dividers and Partitions
ENTERTAINMENT SYTEM ENTERTAINMENT SYTEM ENTERTAINMENT SYTEM
Space Dividers and Partitions
WALL DESIGN INSPIRED FROM CURVES OF THE CAR The wall consists of panels with a design inspired from the curves of the car. Each panel has its own function that can serve the car, the space or the owner. These panels are slid or pivoted according to the function behind the panel. The panels while sliding, fit into each other like a puzzle.
Entertainment Mini Bar System FOR THE OWNER FOR THE OWNER THE OWNER POSSIBLE FUNCTIONS FOR THE PANELS Entertainment Mini FOR Bar Kitchenette
For the Owner
For the Owner
94
System
A. The Wall B. Sliding of a panel to reveal the car charger C. Pivoting of a panel to reveal storage shelves Kitchenette D. Opening of a panel to release the space dividers E. Sliding of panels to reveal the entertainment system F. Pivoting of a panel to reveal the mini bar counter
A.
D.
B.
E.
C.
F. 95
Image : View of Kitchenette and Home Theatre 96
Image : Front View of Garage with pulled out partition 97
98
Image : Garage Wall with Flexible Functions 99
HOT WIRE & HOT MASS UCLA SUPRASTUDIO | M. ARCH | 2014 INSTRUCTORS: MARTA NOWAK, DAVID ROSS
Through a series of digital models investigating surface logics and mechanized safe-path studies within operable robotic envelopes, expanding and merging explorations of ruled surface construction and volumetric form making through the implementation of the hot wire cutter and end-arm tool using the 6-axis large and small Kuka robot platform. As the work was primarily linked to large format wire cutters, models of division and surface continuity was rigorously looked at from foam block to foam block and part to whole.
LINKS FOR REFERENCE |Animation https://www.youtube.com/watch?v=tVj9bHAYyZ0 100
Image : Fabricated Mass 101
ROTATION 1
ROTATION 2
ROTATION 3
ROTATION 4
ROTATION 5
ROTATION 6
ROTATION 7
ROTATION 8
ROTATION OF A CURVE
102
ROTATION AND MIRRORING 1
ROTATION AND MIRRORING 2
ROTATION AND MIRRORING 3
ROTATION AND MIRRORING 4
ROTATION AND MIRRORING OF A CURVE
ROTATION AND MIRRORING 5 103
HYPERLOOP TECH SEMINAR_HOTLINE & HOT MASS_DEC. 15.2014
Initial InitialStudy Study Initial Study Initial Study Initial Study Initial Study Initial Study Initial Study Initial Study
Curve mutation along t t Curve mutation along Curve mutation along t Curve mutation alongalong talong Curve mutation t t Curve mutation
Relation when t=0 Relation when t=0 Relation when t=0 Relation whenwhen t=0 Relation t=0 Relation when t=0
Relation when t=1 Relation when t=1 Relation when t=1 Relation whenwhen t=1 Relation t=1 Relation when t=1
Curve mutation Curve mutation alongalong talong Curve mutation t t
Relation when t=0 Relation whenwhen t=0 Relation t=0
Relation when t=1 Relation whenwhen t=1 Relation t=1
Two Ways ofofRotation Two Ways Rotation INITIAL STUDY Two Ways Two Ways of of Rotation Two Ways ofRotation Two Ways ofRotation Rotation TwoWays Ways Rotation TwoTwo Ways of Rotation ofofRotation
00 0 000 0
00
1 edge 1 edge 11 edge 1 edge edge 1 edge 1 edge 1 edge 1 edge 180° 180°
180° 180°
180° 180° 180° 180°
180° 180° 180° 180°
180° 180° 180°
180° 180° 180°
Rotation Rotation Rotation Rotation Rotation Rotation
Symmetrical curves Symmetrical curves Symmetrical curves Symmetrical curves Symmetrical curves Symmetrical curves
Edge generation Edge generation Edge generation Edge generation Edge generation Edge generation
Rotation Rotation Rotation
Symmetrical curves Symmetrical curves Symmetrical curves
Edge generation EdgeEdge generation generation
180° 180°
Negative Negative
180° 180° 180° 180°
Positive Positive
Negative Negative Negative Negative
180° 180° 180°
Positive Positive Positive Positive
Negative Negative Negative
Positive Positive Positive
Rotation Rotation Rotation TWO TYPES OF ROTATION Rotation Rotation Rotation 104
Rotation Rotation Rotation
Gradual change Gradual change Gradual change Gradual change Gradual change Gradual change
Means ofof recording time Means recording time Means ofof recording time Means of recording time Means recording time Means of recording time
Gradual change Gradual change Gradual change
Means recording time Means of recording timetime Means ofof recording
Incrementality IncrementalityininTime Time Incrementality Incrementality in in Time Incrementality inTime Incrementality inTime Time Incrementality Time Incrementality in Time Incrementality ininTime
From Fromthe theinitial initialstudy studywe were while it is being rotated on while it is being rotated From the initial study rea From the initial study wewe realiz From the initial study we re From the initial study we defined using standard tim defined using standard tiv while it it isitisbeing rotated on while it is being rotated on a while being rotated on while is being rotated From theinitial initial study were FromFrom the initial study we realiz the study we are expressed onstandard two of the are expressed on two of defined using standard time defined using standard time me defined using standard tim defined using tivt while it is being rotated while it is being rotated on while it is being rotatedaon are expressed on two ofofthe s are expressed on two of the sur are expressed on two the are expressed on two of defined using standard tit defined using standard timetim me defined using standard are expressed t are expressed on two oftwo the sur are expressed onon two ofof the
Incrementality Incrementality Incrementality inin Time Time in Time
Increments Increments Increments
Time Time Time
From From From the the initial the initial initial study study study wewe realized we realized realized that that that wewe can we can represent can represent represent the the mutations the mutations mutations that that that a curve a curve a curve can can go can go through go through through along along along time, time, time, while while while it it is is being it being is being rotated rotated rotated onon aon a vertical vertical a vertical plane. plane. plane. The The 16” The 16” x16” 16” x 16” xx16” 16” x 16” xcube 16” cube cube was was used was used used asas a as a time time a time unit, unit, unit, without without without it it being being it being defined defined defined using using using standard standard standard time time time measurements. measurements. measurements. Increments Increments Increments that that that are are derived are derived derived byby this by this mutation this mutation mutation and and the and the notion the notion notion ofof time time of time are are expressed are expressed expressed onon two on two of two of the the ofsurfaces the surfaces surfaces onon the on the mass. the mass. mass.
INCREMENTALITY IN TIME The initial study showed that the mutations that a curve can go through along time can be represented while it is being rotated on a vertical plane. The 16" x 16" x 16" cube was used as a time unit, without it being defined using standard measurements. Increments that are derived by this mutation and notion of time are expressed on two of the surfaces on the mass. 105
Sections Sections Sections Sections
HYPERLOOP TECH Sections
The The points points The onpoints the on vertical the onvertical theplane vertical plane y-zplane were y-z were selected y-z were selected on selected aon geometric a geometric on a geometric Wethat wanted to one study the final form of a mass that is defined by grid grid that grid divides divides thatone divides of the of one cube’s theofcube’s the faces. cube’s faces. faces. mutations occur along its t=0aon to its The The points onpoints the vertical y-zplane were selected on geometric points onthat the plane y-zpath were selected at=5, geometric The onvertical theplane vertical y-z from were selected on awhile geometric We wanted We wanted We to wanted study to study to the study final the final the form final form of a form of mass a mass of that a mass that is defined is that defined is by defined by by defining curves transform from concave to convex and vice versa. grid grid that divides of the cube’s faces. The that points onone the vertical plane y-zcube’s were selected divides one of the faces. grid that divides one ofcube’s the faces. on a geometric mutations mutations mutations that that occur that occur along occur along its along path its path from its path from t=0 from t=0 to t=5, to t=0 t=5, while to t=5, while its while its its grid that divides one of the cube’s faces. Point Selection Gradual Changes We wanted to study the final form of a mass that is defined by defining defining curves defining curves transform curves transform transform from from concave from concave to concave convex to convex to and convex and vice vice versa. and versa. vice versa. We wanted to study the final form of a mass that is defined by We wanted to study the final form of a mass that is defined by We wanted to study the final form of mass that is defined by mutations that that occur along its along path from t=0from to t=5, while its while mutations occur along its path from t=0 to t=5, while its its mutations that occur itsapath t=0 to t=5, SEMINAR_HOTLINE & HOT MASS_DEC. 15.2014 mutations that occur along its path from t=0 to t=5, while its Point Point Selection Point Selection Selection Gradual Gradual Changes Gradual Changes Changes defining curves transform from concave to convex and vice versa. defining curves transform from concave to convex and vice versa. defining curves transform from concave to convex and vice versa. defining curves transform from concave to convex and vice versa.
PointPoint Selection Selection Point Selection Point Selection
Gradual Changes Gradual Changes Gradual Changes Gradual Changes
The points on the vertical plane y-z were selected on a geometric grid that divides one of the cube’s faces. We wanted to study the final form of a mass that is defined by mutations that occur along its path from t=0 to t=5, while its defining curves transform from concave to convex and vice versa. Point Selection
Sections SECTIONS
Gradual Changes
Sections Sections Sections
W cu We chos We c Th cubes, cub o linc We chos We We chose toun s These The th cubes, o cub cubes, or five linearly, line co These un the mut the The co These units, w linearly, commen com line linearly, woul t= the mutation the mut continue cont the commence commen t=4 and t=4w com continue to t= continue cont t=4 and t=5. t=4 and t=4 W cu
Th lin th co co t=
Sections
Sections Sections Sections
Sections Zero
One Edge
Two Edges
Zero Zero Zero Zero
One One Edge One OneEdge EdgeEdge
Two Edges Two Edges Two Edges Two Edges
Zero Zero Zero
One One EdgeEdge One Edge
Two Edges Two Edges Two Edges
Zero Three Edges Three Edges
One FourEdge Edges Four Edges
Two Five Edges Edges Five Edges
ThreeThree Edges Three EdgesEdges
Four Four Edges Edges Four Edges
Five Edges Five Edges Five Edges
ThreeThree Edges EdgesEdges Three
Four Four Edges Edges Four Edges
Five Edges Five Edges Five Edges
SECTIONS
106
SECTIONS The points on the vertical plane y-z were selected on a geometric grid that divides one of the cube’s faces. The aim was to study the final form of a mass that is defined by mutations that occur along its path from t=0 to t=5, while it’s defining curves transform from concave to coves and vice versa.
by ned efined by by hile tswhile its its vice ea.versa. versa. WeWe chose chose Weto We chose study tochose study to five to study five study fivefive cubes, cubes, or cubes, five or cubes, five time ortime or five units. five units. time time units. units. These units, units, These when units, when units, placed when placed when placed placed 5These cubes/ 5These time units were studied. linearly, linearly, linearly, would linearly, would represent would represent would represent represent thethe mutations mutations thewhen the mutations mutations that that linearly, that thatwould These units, placed commence commence commence commence when when t=0 when t=0 and when and t=0t=0 and and represent the mutations that commence continue continue continue to continue t=1, to t=1, t=2, to t=2, to t=1, t=3, t=1, t=3, t=2, t=2, t=3, t=3, when t=0 and continue to t=1, t=2, t=3, t=4 t=4t=4 and and t=4 t=5. t=4 t=5. and and t=5. t=5. and t=5.
107
HYPERLOOP TECH SEMINAR_HOTLINE & HOT MASS_DEC. 15.2014
4
5
°
4
5
°
4
5
°
4
5
°
2
0
°
2
0
°
Although the curve mutations occur along the mass, there was another external parameter that acted on its creation, the hotwire, which was not manifested on the final form. By rotating the mass along its path, and as the aforementioned mutations occur, the two movements are counterbalanced and ROTATION represented. Althoughequally the curve mutations occur along the mass, there was another external parameter
that acted on its creation, the hotwire, which was not manifested in the final form. By rotating the mass along its path and as the aforementioned mutations occur, the two movements are counterbalanced and equally represented. 108
HYPERLOOP TECH SEMINAR_HOTLINE & HOT MASS_DEC. 15.2014
W K H K
W K H K
Wang Qiaoyue Kyratsous Christos Hong Junfeng Kumar Sruthi
Images : Installation 109
PHOTOGRAPHS OF FOAM CUTS 110
PHOTOGRAPHS OF CAST
Image : Fabricated Mass 111
AGGREGATED CONTINUUM UCLA SUPRASTUDIO | M. ARCH | 2014 INSTRUCTORS: JULIA KOERNER, GUVENC OZEL
Through a survey of modeling and animation software Maya, an assigned platonic solid had to be modeled and following operations were to be applied to create a puzzle- Subdivision, patterning, 3 dimensionalization - Relation, translation and collision - Dividing, fitting and aligning 2 sets of negative and positive geometry were created. Each icosahedron had either a negative geometry on each face or a positive one. Hence, the icosahedrons could be connected to form an infinite aggregated continuum in various patterns.
LINKS FOR REFERENCE |Animation https://www.youtube.com/watch?v=zUBFqtul77w 112
Image : Aggregated Mass 113
RENDERING OF ASSEMBLED CLUSTER
RENDERING OF DISASSEMBLED CLUSTER
WIREFRAME OF ASSEMBLED CLUSTER
WIREFRAME OF DISASSEMBLED CLUSTER
SECTION OF ASSEMBLED CLUSTER
SECTION OF DISASSEMBLED CLUSTER
114
BASIC ICOSAHEDRON
AGGREGATION 01
AGGREGATION 02
AGGREGATION 03
AGGREGATION 04
AGGREGATION 05
AGGREGATION 06
AGGREGATION 07
CONNECTION 01
CONNECTION 02
METHOD OF CONNECTION
TRANSFORMATION 115
DIVISION 01
DIVISION 02
DIVISION 03
FINAL CLUSTER
CONTINUOUS BELT VIEW 01
CONTINUOUS BELT VIEW 02
CONTINUOUS BELT VIEW 03
116
BASIC CLUSTER
FINAL FABRICATED MODEL - CNC 117
PROJECTION MAPPING
UCLA SUPRASTUDIO | M. ARCH | 2015 INSTRUCTORS: CRAIG HODGETTS, MARTA NOWAK, DAVID ROSS
1. Projection of still images to a 2’x2’x2’ cube : This was done to get familiarized with the projector-object relationship and with projection mapping softwares. 2. Projection of animation to a fabricated volume : The study of lines was continued to be experimented on a curved surface to explore distortions. 3. Capsule experience : To help imagine, simulate and test environments of the interior of the capsule. The boarding and unboarding process is the focus. To help imagine it better, the projections are made to interact with actors performing in the capsule.
LINKS FOR REFERENCE |Hyperloop Capsule Projection
Mapping - Performance | Animation of Lines on a Concave Surface
https://www.youtube.com/watch?v=JON8721qVfQ https://www.youtube.com/watch?v=5kcuaxl4nsy
118
Image : Projection on full scale mock-up 119
STILL LINE PATTERN - DIRECT VIEW
LEFT VIEW
RIGHT VIEW
LEFT PROJECTED ELEVATION
RIGHT PROJECTED ELEVATION
PROJECTION SET UP - PLAN
PROJECTION OF STILL LINES ON A 2’X2’X2’ CUBE 120
VPT IMAGE MAPPING
STILL LINES CREATING ILLUSION OF DEPTH - DIRECT VIEW
PROJECTION SET UP - SECTION
LEFT VIEW
RIGHT VIEW
LEFT PROJECTED ELEVATION
RIGHT PROJECTED ELEVATION
VPT IMAGE MAPPING 121
Projection mapping lines Suprastudio Tech Seminar | march 2 | winter 2015
CONSTRUCTION OF SPACE
ection mapping lines
Sruti Kumar | Milagro J. Carpio | Marieh Mehrannezhad| Zeynep Aysu Unal
udio Tech Seminar | march 2 | winter 2015
ECTION 2'-6"
8°
2'-6"
8°
1'-4"
6°
6°
EPSON POWER LITE 2'-8"
EPSON POWER LITE
2'-8" 10'-3"
1'-4"
10'-3"
GRID PROJECTION ON A CURVED SURFACE
5'-0"
CONCAVE SURFACE
5'-0"
CONCAVE SURFACE 2'-6"
2'-6"SET UP - PLAN PROJECTION
27°
27°
10'-3"
EPSON POWER LITE EPSON POWER LITE
10'-3"
PROJECTION OF ANIMATED LINES ON A CURVED SURFACE 122
” ” ”6 ”6 -0 -0 5’ 5’
2’-6”2’-6”
2’-6”6” 2’-6”6”
1’-0” 1’-0”
polar surface concave surface lines Projection mapping polar Suprastudio surfaceTech Seminar concave surface | march 2 | winter 2015
horizontal grid horizonta grid
CONSTRUCTION OF SPACE
tion mapping lines
vertical ribs Sruti Kumar | Milagro J. Carpio | Marieh Mehrannezhad vertical ribs
Sruti Kumar | Milagro J. Carpio | Marieh Mehrannezhad| Zeynep Aysu Unal
CONSTRUCTION OF SPACE
o Tech Seminar | march 2 | winter 2015
TION
8°
2'-6" 1'-4"
6°
6°
EPSON POWER LITE 2'-8"
2’-6”
8°
2'-6"
EPSON POWER LITE
2'-8" 1'-4"
6”
2’-
10'-3"
10'-3"
PROJECTION SET UP - SECTION
5’-0” 123
ANIMATION STILLS - POINT, LINE AND 3D DISTORTIONS ON A CURVED SURFACE 124
125
Experiencing the Hyperloop ComforT Architectural reactions to the passenger
Boarding - Unboarding process
Screen functions
Seating adjustment
*Sliding the card to find the seat *reaction of the corridor surface to navigate the passenger *Bag storage
*map shows the location *menu interface *mirror *Light and heat control
*Temperature
PROPOSED HYPERLOOP TICKET APP UI
EXPERIENCING BY PERFORMING 126
16° 34'
PROJECTION SET UP - PLAN 16° 34' 7° 8° 5'-6"
7° 34'
8° 5'-6"
34'
PROJECTION SET UP - SECTION
PROPOSED FUNCTIONS IN CAPSULE
PROPOSED SCREEN INTERFACE AND AMENITIES 127
128
PROPOSED STORY BOARD
CEILING HIGHLIGHTS FOR BOARDING
DOOR SLIDES OPEN AND FLOORING LIGHTS GUIDE
PROJECTION ON THE CAPSULE MOCK-UP
CEILING HIGHLIGHTS FOR BOARDING
DOOR SLIDES OPEN AND FLOORING LIGHTS GUIDE
STILLS FROM FINAL PRODUCT
CEILING HIGHLIGHTS FOR BOARDING
DOOR SLIDES OPEN AND FLOORING LIGHTS GUIDE
SEAT NUMBER APPEARS ON THE SCREEN
BAG IS SLID UNDER THE SEAT
SCREEN IS ACTIVATED ON TOUCH
SEAT NUMBER APPEARS ON THE SCREEN
BAG IS SLID UNDER THE SEAT
SCREEN IS ACTIVATED ON TOUCH
SEAT NUMBER APPEARS ON THE SCREEN
BAG IS SLID UNDER THE SEAT
SCREEN IS ACTIVATED ON TOUCH 129
WELCOME TO HYPERLOOP SCREEN WITH SEAT BELTS
GREEN LIGHT BLINKS TO ALERT ACCELERATION
LIGHTS TURN BLUE FOR ACCELERATION
WELCOME TO HYPERLOOP SCREEN WITH SEAT BELTS
GREEN LIGHT BLINKS TO ALERT ACCELERATION
LIGHTS TURN BLUE FOR ACCELERATION
WELCOME TO HYPERLOOP SCREEN WITH SEAT BELTS
GREEN LIGHT BLINKS TO ALERT ACCELERATION
LIGHTS TURN BLUE FOR ACCELERATION
130
SCREEN SHOWS ROUTE
MENU APPEARS ON SCREEN
PASSENGER SELECTS TEMPERATURE CONTROL
SCREEN SHOWS ROUTE
MENU APPEARS ON SCREEN
PASSENGER SELECTS TEMPERATURE CONTROL
SCREEN SHOWS ROUTE
MENU APPEARS ON SCREEN
PASSENGER SELECTS TEMPERATURE CONTROL 131
PASSENGER PLAYS WITH TEMPERATURE CONTROL
PASSENGER USES SCREEN AS MIRROR
LIGHTS BLINK GREEN FOR DECELERATION
PASSENGER PLAYS WITH TEMPERATURE CONTROL
PASSENGER USES SCREEN AS MIRROR
LIGHTS BLINK GREEN FOR DECELERATION
PASSENGER PLAYS WITH TEMPERATURE CONTROL
PASSENGER USES SCREEN AS MIRROR
LIGHTS BLINK GREEN FOR DECELERATION
132
LIGHTS TURN BLUE FOR DECELERATION
UNBOARDING LIGHTS COME ON
DOORS SLIDE OPEN AND FLOORING LIGHT RECEDES
LIGHTS TURN BLUE FOR DECELERATION
UNBOARDING LIGHTS COME ON
DOORS SLIDE OPEN AND FLOORING LIGHT RECEDES
LIGHTS TURN BLUE FOR DECELERATION
UNBOARDING LIGHTS COME ON
DOORS SLIDE OPEN AND FLOORING LIGHT RECEDES 133