An agent based approach for modeling traffic flow

Driver behavior is a key factor that gives rise to traffic congestion. In this paper we make use of agent based modeling (ABM) in simulating a traffic system. To investigate how drivers' behavior effect on the performance of the traffic system, we modeled four different types of car drivers. In order to enhance the traffic system's performance, we used a genetic algorithm to optimize the schedule of traffic lights to maximize the overall network throughput. Moreover, we built our model using a 3D modeling environment (Blender) for a more realistic simulation of vehicles' motion.