French Institute of Science and Technology for Transport, Development and Networks French and IFSTTAR s Research Activity In the field of AV and CV January 8, 2017 Frédéric Bourquin, Head, COSYS Department Nour-Eddin Elfaouzi, deputy Head, COSYS Abdelmename Hedhli, Special Adviser on ITS, COSYS With the help of colleagues at IFSTTAR, SYSTEMX and VEDECOM 1
IFSTTAR : RDI institute Sustainable mobility, Adapting infrastructure Mitigating natural hazards and our impacts Territory planning 1100 people, incl 200 PhD students 100 million Euro budget 300 international publications/y 160 new research contracts/y 100 expert appraisals 100 patents 70 FP7 european projects + 25 H2020 6 main sites as well as offices in Belfort, Grenoble, Nice, Le Grand Quevilly and Clermont-Ferrand 2
Mega-trends, Challenges Green clean efficient Mobility congestion, GHG, particles Ageing Carbon neutral, @ttractive healthy cities, HL services Resilient cities and mobility Climate Change adaptation, mitigation 3 3/74
Opportunities (in line with TRB, TRA, STRIA, Cavita ) IoT DATA ANALYTICS Sensor, Calculus Control 4 4
AV and CV : cross-cutting issues Main challenges to be addressed Technology (Control and perception for guidance ) Data protection (who owns and protects travel data) Cyber security (protects from hackers ) Liability (who is responsible) Regulation (role of policy makers) Infrastructure Human adoption 5
Next gen Transport Systems Human factors and simulators Ground based or car-borne Technologies to help lateral guidance : Sivic, novel materials, Computer Vision, Augmented GNSS, Towards an infrastructure readyness level for Autonomous vehicule MaaS : data-driven multimodal heterogeneous fleet management (Connected, autonomous + conventional), demand response management, C-ITS at large Electric (Hydrogen?) roads : robust continuous recharging Novel Autonomous PRT systems Pedestrian, last km, Flightpath2050 : towards full multimodality SHM/serviceability, sensors and data processing to enable AV : for ever open roads to AV 6
Human factors How pedestrian would behave among AVs? Simulators help designing protection strategies Is level 3 realistic? Studies suggest - Training helps taking control - could be mandatory 7
Simulation with Pro-SiVIC (JV ESI-IFSTTAR) ESI s Pro-SiVIC : a software platform for realistic simulations in 3D virtual environments : infrastructures road users, vehicle dynamics lighting perception sensors all ADAS SHOW CASED at CES Las Vegas 2017 8
A step further : Virtual Human-in-the-loop 10
Smart vision and lighting Real-time Fog detection, characterization elimination Vehicle detected Smart dynamic autonomous lighting Photonics : active IR, photon counting 11
Hybrid GNSS-Urban Map systems to enhance Vehicule positioning Urban Trench Probabilistic Model - Lateral accuracy enhanced by 40% - Risk of integrity 10 times less 12
Beyond PATH automated road + Publicity by Carolina Power & Light Company, in Wilmington News, 18 january 1956 : One day your car may speed along an electric super highway, its speed and steering automatically controlled by electronic devices embedded in the road. Highways will be made safe by electricity! no traffic jams no collisions no driver fatigue : autonomous car for anyone 13
and beyond purely ADAS-based AV PSA vision, 2016 14
Level of Driving Automation (LDA) 0 1 2 3 4 5 Towards an infrastructure readyness level for AD define the road infrastructure entities E (from conventional to innovative ones), which will allow to optimize the costs for building, operating and maintaining the road infrastructure, when deploying HAD. Vehicle-Driver-I nformation-i nfrastructure (VDI I) System Road layout E 1 U 3 U 4 2030 Road equipment E 2 Static map data E 3 U 2 Real-time information E 4 U 1 TMC Conventional road H ybrid road Fully hybrid road E 5 2016 0 1 2 3 4 5 Level of Road H ybridization (LRH ) Road Entities 15
Impacts of CV and AV on Traffic 16
FCD-loop based traffic management : Ramp access control and variable speed limit : A25 (northern France) Tronçon de 23 km 17
Confidentiel Document propriété de l IFSTTAR et Transpolis SAS Diffusion Interdite TRANSPOLIS A world-wide MAJOR HUB to design, test and showcase new technologies with INTERNATIONAL partners: - Vehicles, Energy, - Infrastructure & road equipment, - Communication: ITS, IoT, Telematics, - E-commerce & logistics
Confidentiel Document propriété de l IFSTTAR et Transpolis SAS Diffusion Interdite WHERE 200 ACRES of urban mobility lab close to LYON
Confidentiel Document propriété de l IFSTTAR et Transpolis SAS Diffusion Interdite TOPICS AND PROJECTS - Autonomous vehicle and connected cars - Traffic management - Tolling and congestion charging - Multi-energy station - Vehicle tracking - EV charging infrastructures - Delivery services - Urban lighting - Internet of Things, M2M communications
Confidentiel Document propriété de l IFSTTAR et Transpolis SAS Diffusion Interdite SHAREHOLDERS RESEARCH SMEs INSURANCE & BANK NON-PROFIT MAJOR GROUPS
PUBLIC STAKEHOLDERS Confidentiel Document propriété de l IFSTTAR et Transpolis SAS Diffusion Interdite
Research topics at IFSTTAR related to AV and CV Wrap-up Systemic and multi disciplinary approach Control and perception for guidance Simulators and simulation (modeling ) Human factors Traffic management Infrastructure hybridization Safety Impacts on environment Security and reliability Regulatory and legal aspects New mobility services related to CV and AV Large facilities and Test beds 25
PIA : 47 B + 10 to boost Excellence, Innovation, private-public partnerships CAPACITY BUILDING : Many new instruments including Institutes for Technological Research : 2,5 B Institutes for Energy Transition : 1 B IFSTTAR 26 26
VEDECOM : decarbonized connected Veh 1. Electrification of vehicules 2. Connectivity and autonomous driving 3. Shared mobility, shared energy (V2G ) Naturalistic driving in crowded cities : AV in Versailles and Paris 27 27
SYSTEMX, 54M funding 28 28
SYSTEMX 13 29
Ecological Mobility : a solution for the Industry of the Future 30 30
EC initiatives on CV and AV FEHRL FOR-automated roadmap ERTRAC roadmap automated Shift2Rail (automated trains) 33 33
Thank you for your attention 35