A cooperative multi-agent system simulation model for urban traffic intelligent control

Agent-based urban traffic simulation has been looked as an efficient tool for traffic planning. However, the main problem is how to build an agent-based model for traffic simulation. This research presents an urban traffic information intelligent control model, which adopts a multi-agents coordination approach for urban traffic information control to coordinate the traffic network. In this paper, we propose a new traffic information intelligent control hybrid model based on multi-agent system that performs the basic interface, planning and supports services for managing different types of demand responsive transportation. In this research, we expose the main features and the behaviors exhibited of the multi-agent system. Based on this model, a simplified multi-agent traffic information control system can be developed that is effective for reducing traffic congestion and air pollution.