CATS: A complex adaptive traffic simulator

In this paper the authors investigate how the autonomous agents methodology can be used for modeling and simulation of urban traffic systems. The proposed approach allows one to directly include subjective measures for characterizing driver behavior through a specific information set, different goals and different strategies. A description of the basic agent models, such as driver, traffic light and toll, is reported. An object oriented modeling and simulation environment has been implemented in JAVA in order to allow the system to run on different platforms. Moreover, JAVA, through its multithread structure, is particularly well suited to the representation of a multiagent population