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Italian Bridges
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Distribution of bridges in Italy
Approximately
45% of State Road bridges 20% of Toll road bridges 35% of Local Highway Bridges* *without taking consideration municipal roads
23,4
Billion Euros of investments
350 M €/Y
For bridge maintenance
45% Maintenance Other
In road maintenance
30% of Italian bridges need maintenance in a short period of time
⎮Most of the existing bridges were built after the II World War ⎮The most frequent typology is reinforced concrete and prestressed concrete
Bridges in the USA
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Approximately 615,000 bridges
Approximately
123 B$
10%
Required for bridge maintenance (40 B$ from IIJA)
of American bridges are considered structurally deficient
The U.S. House of Representatives in November 2021 joined the Senate in passing the Infrastructure Investment and Jobs Act (IIJA)
⎮40% of existing bridges are almost 50 years old ⎮The most frequent type is reinforced concrete and prestressed concrete
Brazilian Bridges
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Approximately 130,000 bridges are registered (Probably are much more) ⎮Many bridges were built with limited technologies ⎮The most frequent typology is reinforced concrete
65% of State Bridges 35% of Federal bridges
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Structural damage and potential risk of collapse
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Inspection of existing structures
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Evaluation and recovery of existing structures, at local and network level
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Assessment of health conditions
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Monitoring systems 20 18 16 14 12 10 8 6 4 2 0
1,79
11,31
()
0
5
frequency (Hz)
10
15
60 40 20 0 -20 -40 -60 -80 -100 -120 0
5
10
15 time (s)
20
25
30
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Traditional techniques, software-based methods and A.I. algorithms
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Considering inspections,
16 surveys,
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tests,
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safety assessments,
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resources,
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With the purpose of verify safety and calibrate interventions
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To ensure balanced investments
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And long-term maintenance plans
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Which means, assess efficiently the structural damage in a wide range of existing assets
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High costs and network problems
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Evaluation of benefits of the actions
Source: FHWA Bridge Preservation Guide
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Define a right policy of investments
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for a safe road network with a control of the financial expenses
31 Through risk analysis, economic loss due to a catastrophic event can be quantified and socioeconomic improvements due to the optimization of intervention costs can be simulated. Software for the evaluation of optimal resource allocation of road network infrastructures.
Application to risk management of Californian highway network bridges (UCI)
Application on the Rio-Niterói Bridge
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Application on 487 bridges on Italian Road network
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New projects and achievements should focus on durability
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And define the best intervention strategy throughout the life of the structure
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Today Franchetti apply its knowledge to assess
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and monitor
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large infrastructures
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Franchetti has analysed and refurbished over
10.000 structures
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Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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How is this done today
Manual inspection
Balanced wheel (APL)
Multi-functional vehicles
Labor-intensive
Waviness only
Very accurate & complete
Operator dependent
Requires fixed speed
Expensive
Very partial data
Only wheel track
Road characteristics but no digital twin
Visual Inspection for PMS
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Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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Autonomous vehicles continuously scanning the road
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The (near) future: DIGITAL TWIN All roads will be digitized periodically and completely to: Make/maintain inventory of road infrastructure (roads, traffic signs, markings, …) Provide all stakeholders with easy access to centralized data Enable offline and automated road quality control Save money thanks to predictive maintenance
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Why measuring roads? Automotive & Road Sector Safety - ADAS functions such as lane keeping relay on clear road markings - Worldwide yearly cost of bad roads is estimated to be: ??? (accidents, damaged vehicles, back injury, …) - Human, visual, on-site road inspection is slow and dangerous
Maintenance planning
Comfort
Self-driving cars
- Objective numbers reveal where and when to best spend road maintenance budget
- Delicate transport (e.g. non-urgent ambulance service) needs road quality for route selection
- Road digitization documents evolution of road condition for road exploitation under consignment
- SatNav feature: From A to B in most comfortable way
- Self-driving vehicles need road profile info for safe & comfortable navigation: ▪ Pothole avoidance ▪ Speed reduction at bumps ▪ Curbstone detection ▪ Platform localization for shuttles & buses
- Acceptance of road (re)construction
- Government aiming to increase of standard of living
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Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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Measurement Principle – no scanning
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Road digitization for Superior Ride Comfort
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How XenoTrack rearview works Solid-state, multi-beam Lidar, developed for automotive applications High-accuracy short-range Lidar for lane-wide measurements Independent from ambient light conditions Also used as road preview system for active suspension control
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Road damage 3D view reveals: Longitudinal and traversal cracks Road damage
Potholes and repaired asphalt Gutter next to curbstone
… + Markings + all sections
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Accuracy for airfield runways
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Automated Paving Equipment - milling, paving, compacting
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Value proposition of 6D road scanning Large scale road scanning combined with user-friendly web application for data consulting, delivering complete digital twin for future proof road management
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Worldwide accepted class profiler
Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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Cross sections
Flat region at manhole cover 1
Freely definable cross sections
61 Road curvature: Difference = 50 mm
Speed breaker: Height = 120 mm Transition from cobblestones to asphalt
IRI details
Renewed road segment Distance = 2240 - 2283 m away from the start Poor quality due to grooves: fluctuating height profile [mm] Conclusion: bad repair
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Reflectivity map Level of reflection of Lidar laser reveals road marking and changes in material. Rolling carpet of intensity values is built up in realtime
Zebra crossing visible based on difference in reflectivity between painted and unpainted cobblestones
Small intensity differences at edges of cobblestones reveal their shape
Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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Different layers of results Trend analysis
• Crack analysis • Road degradation quantification • Maintenance advices
Road characteristics
• IRI • Longitudinal waviness • Transversal waviness / Rutting
Realtime raw data
• 2D camera images every x meter
• 3D Digital Twin • Reflectivity map • GPS & IMU value, synchronized with Lidar data
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Link to Cloud Data GIS
Online Analysis – Comparison - Follow-up
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Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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What XenomatiX stands for XenomatiX provides superior 3D sensing for automotive applications. XenomatiX’ novel LiDAR solutions enable reliable detection of road users, obstacles and road conditions for safer and more comfortable driving.
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Indus trial
XenomatiX customers
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Automotive OE Ms
Road Market
T IE R I Automotive
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XenomatiX at a glance Key stats
Global coverage
Unique Technological Offering
2013 Established
Cost
Reliability
50+ Staff
70+ Patents
60+ Engaged Customers
Size
Awards From 2016 to 2021…
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Agenda: • • • • • • •
Road Survey market today Automotive development opportunity Automotive LiDAR for road surveys Example - LiDAR road survey Example - road survey visualization XenomatiX info Take-aways
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Take-aways 1. PMS requires regular pavement surveys 2. Automotive developments will increase survey frequency and will change our activities 3. It’s not a threat but an opportunity 4. These technologies are available today for road surveying
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Contact XenomatiX Kris De Meester
VP Sales & Business Development kris.demeester@xenomatix.com info@xenomatix.com
Follow us on Social Media @XenomatiX
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ArcGIS A Foundation for Digital Twins
350.000 Organisations working with the ArcGIS platform
> 30% annual revenue towards R&D
“Knowing where things are, and why, is essential to rational decision making.”
Modelling the world
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Structuring data in a Digital Twin
Types of data as source
Apps & Maps
GEOSPATIAL SERVICES
Multidimensional data Vector
Ungestructured
Terrain
Tabels
Maps, Layers & Scenes
Imagery
Big Data
Lidar / Point Cloud
Voxels CAD / BIM
Real-Time (IoT)
3D Textured Meshes
Supporting different users
Management
Domain / Data Science
Communities Everywhere always
GISprofessionals
Enterprise integration
ArcGIS
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GIS Interconnects & Integrates Real Time & Visualize Data Capture & Integration
Dashboards & Reporting Real Time Analytics Visualization
Analyze & Predict Automation (AI/ML/DL) Modeling Simulation Forecasting
Data Modeling System Integration Reality Capture Information Management
Digital Twin
GIS
Share & Collaborate Engagement Collaboration Data Access Information Sharing
Utrecht: 3D mesh with additional objects
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Data Capture & Integration Consistency between objects in different systems Assets in functional context
Output Data
Digital Surface Models
Textured Meshes
DSM Orthomosaic
Point Clouds
Inputs Imagery
Reality Capture
Lidar Orientation Data
Ditch not working: Functional impact Mayor Impact
Minimal Impact Unconvenient Impact
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Object spatial referenced with EAM Minimal Impact
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Analytics Traction on power cable by Lidar
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Road Crack Detection Object detection Automates road crack detection for DOTs and Public Works Type of crack, and possibly its length and width
Road Surface Investigation Object detection Road Marks investigation supporting lane assist systems Road Cracks
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Road Condition (Deterioration) Forecasting Prediction Prioritize road infrastructure investment Efficiently plan road maintenance at the proper time and location Forecast road deterioration based on historical condition data, along with other data sets like traffic density, weather, and road type
Traffic Analysis from CCTVs data analytics Detect pedestrians and vehicles by type city-wide Can infer accidents, sudden stops, and traffic anomalies Understand traffic patterns, respond to incidents quickly, and support event planning
Relate maintenance to KPI’s of asset: • Capacity • Safety • Environmental impact
Conclusion ArcGIS offers to model a comprehense Digital Twin Digital Twin contains functional, economic and social data & behaviour Foundation (ArcGIS) is often already in use. Just connect Digital Twin support collaboration between people and systems
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Questions
mderink@esri.nl +31(0)6 204 326 53