A Trass-based Agent Model for Traffic Simulation

This paper focuses on traffic simulation generated by the multi-agent simulation framework TRASS (Traffic Simulation System). TRASS-based simulations conceive agents as individual traffic participants moving in an artificial environment and which can be described in a three-layer agent model. There is no restriction on any particular kind of road users such as cars or pedestrians, but a concept is presented which is appropriate to model different kinds of traffic participants and have them interact with each other in one single scenario which may not only include roads, but also stadiums, shopping malls and other situations where pedestrians or vehicles of any kind move around. Simulation results will be presented by using TRASS as a testbed for analyzing norm emerging processes, ported in the context of a simple traffic scenario (i.e. learn traffic rules by observation and experience).