6533b825fe1ef96bd1281b0b
RESEARCH PRODUCT
Dealing with the right of way in advanced traffic simulation. A characterization of drivers' behaviours in a multi-agent approach
Bérénice ReffetPhilippe MathieuAndras KemenyBenjamin VailleauAntoine NongaillardHakim Mohellebisubject
trafficArtificial intelligenceSynthèse d'image et réalité virtuelle [Informatique]Multi-agent systemsSystème multi-agents [Informatique][INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Drivers' behaviourModélisation et simulation [Informatique]artificial intelligencesimulation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Traffic[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]multi-agent systemsSimulationdescription
International audience; With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced systems and models is unavoidable. The objective of this work is to characterize, in a multi-agent approach, the traffic vehicles behaviours, and to model them in a versatile traffic simulator, serving as a testing tool for integration in the traffic module of the SCANeR Studio T M simulation software. The algorithm will bring more natural interactions between vehicles in simulation and allow the emergence of new relevant situations for autonomous vehicles, observable in real, such as collision risk situations or even accidents, which have for now to be scripted in scenarios and do not occur naturally.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-09-06 |