Représentation ego‐centrée à base d’affordances de l’environnement pour la simulation multi‐agents de trafic

To improve the validity of traffic simulations in urban and suburban areas, we propose to consider the driving context and the driver behavior in terms of space occupation. We endow agent driver with an ego‐centered representation of the environment based on the concept of affordances. We use the affordances to identify the possible actions, in terms of space occupation (virtual lanes), afforded by the environment. We use them, next, to build an ego‐centered representation of the situation. The proposed driver model was implemented with ArchiSim. The experiments allow to reproduce a real traffic situation and to compare simulated data to real ones.