Smart solution for modern megapolis
ICEFMath Team: Dmitrii Kazantcev Pavel Taranin Artur Yurovskikh Alexandr Petrov
Executive summary
Problems
Solutions
Architecture
Risks and Integration
Results
Integration of SAP HANA into existing infrastructure creates opportunities to solve transport problems in Moscow
42%
Congestion of motorways
5.2
Problems
Average number of people per m^2 in subway car
Moscow is facing serious problems within its transportation systems. Without the implementation of new policies, its overload will double by 2025 and average time per trip on private vehicles will increase by 25%, despite the population growth being around 0.8%. It is mainly caused by ineffective system of traffic control and constantly decreasing popularity of public transport.
Results
100
bln rub
22%
Public transport overload
20%
Moscow citizens spend more than 3 hours daily commuting to work
3%
Annual decline in buses’ passenger flow
Furthermore, the results of the
performed measures and created infrastructure failed to meet the expectations, which is primarily linked to inabilities to handle huge flows of data, worsened by absence of adaptive big data collection and processing systems.
Solutions
Integration of SAP HANA with its adaptive and flexible approach to big data analysis will not only address the problem directly, completing the ITS in the city, but ensure its economic and informational efficiency as well. In addition to this, it will provide smart solutions for various types of public and private transport, taking advantage of the abilities of the current infrastructure.
Introduction of Intelligent Transportation System will increase average speed of cars and buses, reduce number of road accidents and CO2 emissions, increase popularity of ground public transport and decrease its costs, improving overall image of Moscow. Annual benefits from Moscow ITS
236
mln kg
Reduction of CO2 emissions per year
20%
Average increase in bus speed
Sources: case materials, ICEFMath analysis, gks.ru, Yandex Reports, Moscow Transport Authorities
620
mln kg
Annual decrease in wasted fuel
210
Saved Lives per year
1
Executive summary
Problems
Solutions
Architecture
Risks and Integration
Results
Moscow faces crucial problems in both private and public transport Metro conditions are worsening
The old and poorly automated system of trains’ coordination is still used. It is mainly based on the decision of a driver about the distance to the nearest train, being highly personalised and decentralised.
2,6 2
2,55 2,5 2,45 2,4
2,35 2,3 2009 2010 2011 2012 2013 Passengers, bln
New technologies should be introduced
12 10
1,5
8
1
6 4
0,5
2
0
0 2006
2008
2010
280 2010 2011 2012 2013 2014 2015 2016
Unoptimal route selection and ineffective traffic management are sources of over 20% of traffic congestion, causing the average traffic flow speed to decrease on average by 7,5% in 2012, despite the announced anti-jams actions.
2012
Number of passengers, bln Number of buses, thousands
Private transport popularity growth has Main problems created by the dominated road capacity development increase in the number of cars: 340 Traffic congestion: Moscow currently occupies
Autos per 320 1000 people in Moscow 300
Number of buses
metro reaches 7.7 people per 1 m² area of the subway car during rush hours, which is twice higher than it normally should be.
Buses are facing constant decline in popularity despite the growth of their number
Number of passengers
The density of passengers in Moscow
Fast growth of the number of metro passengers is becoming a serious issue
leader’s position among European cities Road Safety: Transport Accidents casualties amount up to 1400 per year, exceeding murders over 3 times. Ecological situation: Moscow is considered to be one of the “dirtiest” cities of Europe with transport emissions contribution of 92,8% Parking facilities: In the city, parking is effectively a problem and the reason for traffic jams, as it was revealed that 35% of traffic stems from drivers looking for parking space or occupying side lanes, leaving them unused by transport
Main reasons for this are: • Slow speed compared to other cities • Uncertainty about travel time • No real-time schedule • No developed application for locating the bus
The policy of increasing the number of buses does not achieve its goals because the root of unpopularity is ineffective bus management.
Market share of illegal taxis is falling but is still significant, keeping safety problem relevant 100%
The relevant reasons are:
Unoptimal Car allocation: on 50% average, 45% of cabs are vacant. 0% High price of legal 2011 2013 taxi is affected by Legal taxis Illegal taxis administrative and The average waiting time, traffic jam costs, taking up to 62% of the the latter occupying trip, is the main deterrent up to 25% of fare. of industry development
Sources: ICEFMath analysis, interview with train driver, TomTom European Congestion Index, GKS, Moscow Transport Authorities, Yandex Probki research
2
Executive summary
Problems
Solutions
Risks and Integration
Architecture
Results
Main goal of ITS in Moscow is to optimize routes of both people and vehicles For metro, analysis of real-time location of trains will help both customers and train drivers Data collected from cameras and sensors for underground situation analysis such as congestions on stations, exact positions of trains on routes and intervals between them, is processed and translated to info-screens and the mobile app, showing the optimized way from A to B, taking the functioning capacities of stations into account. Hence, the distribution of people throughout the metro becomes more uniform. The sophisticated automation of processes of trains’ regulation based on dynamics situation analysis are inevitable. High performance and flexibility of SAP HANA in-memory technology, alongside with SAP Mobile Platform, meet given requirements of analyzing the continuously growing data stream.
B SAP HANA will help to secure cohesion between trains
A
There are various means by which situation with buses can be improved Automatic detection of bus location using
GLONASS will allow government to choose the most appropriate schedule, increase safety and quality of services. Information to passengers will be transferred through mobile apps, smart bus stops and buses themselves.
Altering traffic signal timing at
intersections to give a priority to buses will increase buses’ speed and reduce the variability of schedule.
Automatic passenger counting will allow to optimise the routes and time intervals between buses.
Busy routes
Free routes
Congestion problems can also be mitigated with the help of ITS Advanced Traveler Information System Core benefits Traffic mobile App, based on SAP data
ITS with one data processing centre
processing, presents drivers with the real-time Drivers can optimize their routes using information obtained through location information, optimal routes and mobile apps and web-sites short-term congestion forecasts The congestion is expected to Parking information App for finding and substantially decrease by freeing the booking parking places side lanes (decrease in congestion by Transport Management based on 10%) comprehensive data analysis Increased adaptability and flexibility Intelligent traffic signaling: replacement of of traffic regulation outdated information with real-time data results in effective traffic management Sources: case materials, ICEFMath analysis
All suggested solutions require storage for huge amount of data and fast processing of it, so SAP HANA will be perfectly suitable
Optimisation of all stages of taxi ordering and giving advantages to legal drivers will reduce the volume of illegal market Taxi app, based on telemetric devices of legal drivers, provides users with accurate arrival time estimation and convenient order facilities.
App for legal taxi drivers, deriving optimal route decisions when being without orders from customers, basing its decisions on past data and dynamic real-time inputs.
Core benefits As the system will be available only to licensed drivers, the growth of legal market will be supported by the illegal market decrease. More uniform distribution of taxis will further decrease waiting time
3
Executive summary
Problems
Solutions
Architecture
Risks and Integration
Results
Introduction of SAP HANA will increase cohesion of available infrastructure system and help to overcome the risks of ITS
Cameras to trace road accidents Traffic lights under ITS control
Motion detectors Information panels on roads
Storage for ITS data Recent ITS infrastructure development gives opportunities to place almost the whole city under control 100% 80% 60% 40% 20% 0% 2010
2011
2012
2013
Percentage of Moscow territory covered by ITS
Sources: case materials, ICEFMath analysis
Risk matrix
Weaknesses of current system Absence of adaptive system
for data collection and dynamic decision making about current road situation Situational center activity has not yet been launched Existing systems' work is not coordinated
SAP HANA will perfectly fit current infrastructure
1 2 3
7
5
4 6
After SAP HANA introduction
Low
Smart bus stops
7800 800 1700 6700 150 558 950 Tb
High
Number of state public transport vehicles equipped with GPS/GLONASS modules
ITS introduction is connected with various risks, but they are manageable Severeness of risk
Medium
All the components of ITS are already in place in Moscow in one form or another, but they lack coordination between each other
Low
Medium
High
Probability of risk
1
Low IT literacy of workers
2
Competition
5
Unexpected costs
3
Low level of Internet usage by citizens Integration problems due to old equipment
6
Corruption
7
Legal restrictions
4
4
Executive summary
Problems
Solutions
Risks and Integration
Architecture
Results
Applicability of SAP HANA to ongoing problems and its implementation Advantages of SAP HANA In-memory platform Velocity
Variety
Up to 1000x faster calculations Ability to work than traditional way of data analysis with any data type No latency between from any source data creation and analytics usage No complex Immediate access to any data programming to Possibility of immediate reaction set the apps is on changing circumstances required
Volume
The ability to process Big Data Needs less space and less Fast growth of information to analyze, computational resources GB per day compared to traditional ways 20 Despite higher performance 10 and lower requirements, the price is lower 0
2012
2014
2016
Fixed Sensors
SAP Net Weaver Business Warehouse for data services, data management and storage; SAP Business Suite for real time data replication
SAP Business Objects Tools to work with derived results and provide flexible reporting
Probe Data By onboard radio units
Such as traffic cameras, number plate recognition systems, induction loops
SAP HANA helps to take more reasoned decisions quicker, providing immediate access to critical information at low cost and high efficiency, which is crucial in the situation of continuously fast growing information flows
Localization data, speed, direction of travel and time information from taxis Calculation and modelling in
Offices of Taxi Companies
SAP HANA
Main ITS Servers
environment (using its in-memory computing opportunities)
Extraction and transformation of data (filtration and aggregation)
SQL
Visualization system will allow to have a simple clear picture of current transport situation on the city
Traffic data generation SQL SQL
Statistical processing
Sources: case materials, ICEFMath analysis
SQL
City transport department
Route delivery Front-end Server
Users’ requests and the solutions provided will be processed and delivered through mobile apps
Modelling of city transport-system
Private End-User
Municipal Services
Crucially important services such as ambulance, police and fire departments will be able reach their destination faster
5
Executive summary
Problems
Solutions
Architecture
Risks and Integration
Results
ITS will significantly improve the situation in economic, social, safety, image and ecological spheres in Moscow
bln rub
Annual social benefits from Moscow ITS
Social benefits by sector, bln rubles
100 15
58
Metro
7.8 17.2 26.2
bln rub
Congestion
Total
Direct reduction of costs of public transport
Benefit to cost ratio of ITS
bln rub
15 20% 25% 40% min
27
Buses
ITS will increase the speed and comfort of public and private transport and quality of life
Value of saved fuel
Sources: case materials, ICEFMath analysis
Decrease in average travel time by car Increase in the speed of buses Decrease in the variability of bus schedule
Decrease in the average bus delay time
Due to optimisation of metro routes, density of people in metro will decrease 5,1 5 4,9 4,8 4,7 4,6 4,5 4,4 4,3 4,2
Average density during pick hours, people/m^2
2013
2014
2015
2016
Amount of wasted fuel and CO2 emissions will decrease CO2 emissions from transport in Moscow, mln kg
1100 1000
236 mln kg
900
ITS
100
ITS will decrease costs of public transport and increase social benefits
800 700 2012
2013
2014
Before ITS
2015
2016
After ITS
Despite the increase of average speed, the number of road accidents will fall by 25% and thus, more than 210 lives annually will be saved
According to the survey conducted by sociological research centre “Romir�, some determinants of Moscow image are: Ecological state (46.9%) Congestions (14.5%)
So, the impact on image will be mainly determined by reduction of exhausting fumes. Together with the improved quality of public transport and reduction of congestions, Moscow will become more attractive city to visit and live.
6
ICEFMath Team
Dmitrii Kazantcev
Pavel Taranin
-NRU HSE, International College of Economics and Finance, “Mathematics and Economics”, 2nd year -Russian National Olympiad in Economics, winner, 2011 -Russian National Olympiad in Economics, winner, 2012 -Alfa-bank scholarship
-NRU HSE, International College of Economics and Finance, “Mathematics and Economics”, 2nd year - Mathematical Olympiad of Moscow State University on mathematics, prizewinner, 2012 - Global management challenge, finalist
kasantsevdima@yandex.ru
paveltaranin@yandex.ru
Artur Yurovskikh arthur_940608@live.ru
-NRU HSE, International College of Economics and Finance, “Mathematics and Economics”, 2nd year -Russian National Olympiad in Economics, prizewinner, 2012 -Russian National Olympiad in Social Science, prizewinner, 2011 -Russian National Olympiad in History, prizewinner, 2010 -Global management challenge, finalist -Alfa-bank scholarship
Alexandr Petrov alex61094@mail.ru
-NRU HSE, International College of Economics and Finance, “Mathematics and Economics”, 2nd year -Worked as a bowling instructor -Global management challenge, finalist -Various table tennis competitions winner