Multi-agent System Model for Urban Traffic Simulation

Today, in optimizing traffic flow and reducing congestion, the application of traffic regulation is much concerned. Traffic simulation is considered to be a method for supporting, analyzing and solving traffic problems. A multi-agent system, which is composed of many independent elements interacting with each other, is a suitable tool for traffic simulation. In this paper, we build a multi-agent system model to simulate urban traffic on the roads with many lanes. The model is implemented in the NetLogo simulation platform to simulate with real traffic data and then we can give some evaluations on the present and future traffic situation