Impact of attentional factors in a multi-agent traffic simulation
Résumé
The road network includes in two kind of road sections : straight lanes, and road crossings. For road crossings, Mandiau et al. [1] proposed an algorithm derived from the game theory, where a driver decides at each time step to GO or to STOP depending on his evaluation of the relative priorities with the other players he selected in the game. The GO/STOP decision is then translated into an acceleration for the driver's vehicle. We will investigate the impacts of the change of two parameters which are fixed in their model [1]: the distance d from the road crossing and the limited number R of other drivers.