Communication Dans Un Congrès Année : 2017

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

Résumé

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.

Fichier principal
Vignette du fichier
LE2I_DSC_2017_KEMENY.pdf (1.12 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-01939812 , version 1 (19-12-2018)

Licence

Identifiants

  • HAL Id : hal-01939812 , version 1

Citer

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⟩
339 Consultations
143 Téléchargements

Partager

  • More