A Driver Ego-Centered Environment Representation in Traffic Behavioral Simulation

  • Feirouz Ksontini
  • Stéphane Espié
  • Zahia Guessoum
  • René Mandiau
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 155)

Abstract

We present a multi-agent traffic simulation to improve the validity of traffic simulations in urban and suburban fields, with a better consideration of the driving context and driver behavior in terms of anticipation of positioning on the lanes and occupation of space. The demonstration intends to reproduce the observed behavior such as filtering between vehicles (two-wheels), prepositioning on lanes when approaching the road intersections, “exceptional” situations (stranded vehicle or improperly parked, etc.). The proposed approach considers that each driver is perceiving the situation in an ego-centered way and is readapting the road space by overriding the existing physical structure.

Keywords

Traffic Demand Driver Behavior Intelligent Transport System Road Intersection Traffic Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Feirouz Ksontini
    • 1
    • 2
  • Stéphane Espié
    • 1
  • Zahia Guessoum
    • 3
  • René Mandiau
    • 2
  1. 1.Université Paris-Est/IFSTTAR/IM-LEPSISParis 15France
  2. 2.Université de Valenciennes et Hainaut Cambrésis - LAMIHValenciennesFrance
  3. 3.4 Université de Paris 6 – LIP6ParisFrance

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