Dealing with the right of way in advanced traffic simulation. A characterization of drivers' behaviours in a multi-agent approach

Abstract : 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.
Complete list of metadatas

Cited literature [3 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01939812
Contributor : Compte de Service Administrateur Ensam <>
Submitted on : Wednesday, December 19, 2018 - 5:32:13 PM
Last modification on : Monday, June 3, 2019 - 12:00:40 PM
Long-term archiving on : Wednesday, March 20, 2019 - 1:24:42 PM

File

LE2I_DSC_2017_KEMENY.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01939812, version 1

Citation

Bérénice Reffet, Philippe Mathieu, Andras Kemeny, Benjamin Vailleau, Antoine Nongaillard, et al.. Dealing with the right of way in advanced traffic simulation. A characterization of drivers' behaviours in a multi-agent approach. Driving Simulation Conference, Sep 2017, Stuttgart, Germany. pp.163-165. ⟨hal-01939812⟩

Share

Metrics

Record views

521

Files downloads

24