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Cybercars: A Complement to Mass Transport. Michel Parent INRIA/IMARA – France Ming Yang Jia Tong University, Shanghai. IMARA Informatique, Mathématiques et Automatique pour la Route Automatisée. LaRA JRU Mines- ParisTech. IMARA Research Themes. Driving assistance and automation
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Cybercars:A Complement to Mass Transport Michel Parent INRIA/IMARA – France Ming Yang Jia Tong University, Shanghai
IMARAInformatique, Mathématiques et Automatique pour la Route Automatisée LaRAJRU Mines-ParisTech
IMARA ResearchThemes • Driving assistance and automation • Sensors and Data Fusion • Vehicle control and certification • Cooperative behavior • Cybercars • Modeling and control of transport systems • Stochastic models • Operation research on logistics • Optimization of transport modes (multimodality) • Communication technologies for mobiles • VANETS, Ad-Hoc networks, 802.11p • IPv6 communications • QoS, safe architectures
Problems of the automobile • Accidents • Use of fossil energy • (GHG+dependancy) • Quality of life • Pollutions • Health • Cost • Equity • Space
European Agenda • White Paper. European Transport Policy for 2010: time to decide. European Commission, 2001. • Towards a thematic strategy on the urban environment. Communication from the EC to the Parliament, 2004. • European Road Transport 2020: a Vision and Strategic Research Agenda, ERTRAC. 2004. • Green Paper on Energy Efficiency or Doing More with Less. European Commission, June 2005 • Green Paper on Sustainable Road Transport. European Commission, Sept. 2007 • ELSA in Transport, Nov. 2009 • White Paper on Transport (2010)
Efficacité énergétique globale des modes de transport de voyageurs en zones urbaine et périurbaine , par voyageur . km 90 80 essence >2L 70 minibus 60 gazole <2L 50 gep/voy.km 3 > 750 cm 40 bus articulés 30 3 150-250 cm métro ancien 20 métro moderne 10 0 tram (RATP) RER (RATP) métro ( RATP ) deux-roues autobus véhicules particuliers Energy Efficiency Source ADEME 2008
Parking (8h) : Pedestrian: 0 Bicycle: 8 m2*h Moped: 12 m2*h Car (street): 80 m2*h Car (parking): 240 m2*h Bus/Tram: 0 Space*Time Efficiency • Moving (4 km) : • Pedestrian: 1 m2*h • Bicycle: 1 m2*h • Moped: 2.0 m2*h • Car: 9 m2*h • Bus (30p): 0.3 m2*h • Tram (200p): 0.1 m2*h
Transport Policy • Favor high capacity modes when and where the demand exists • Try to control the demand when and where there is a capacity problem • Adapt the capacity while maintaining good service • Provide individual modes for low demand • Optimise the operation of the vehicles on a given infrastructure • Remove the driver from the loop
Individual modes alternatives • Walking – cycling – rollers - HT • Taxis - DRS • Rickshaws • Car pooling • Car-sharing • PRT • Cybercars
AutoLib in Paris in 2010 • Request from the current mayor • 4000 vehicles • Station to station • Surface parking • Clean vehicles • Operator? • Manufacturer?
Lohr Industry • Translohr • Neo-VAL • Cristal
Dual-Mode Vehicle • - CyberCars-2 • Have-IT • E-Lane
Michel.Parent@inria.frwww.lara.prd.frwww.cybercars.org Thank you