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A Cooperative Multi-agent System Simulation Model for Urban Traffic Intelligent Control

XU JIN, Mhamed ITMI and Habib ABDULRAB

Summer Computer Simulation Conference 2007 (SCSC 2007)
San Diego, California (USA), July 15-18, 2007


Agent-based urban traffic simulation has been looked as an efficient tool for traffic information. However, the main problem is how to build an agent-based model for traffic simulation. This research presents an urban traffic intelligent information control model, which adopts a multi-agents coordination in urban traffic information control to coordinate the traffic network. In this paper, we propose a new traffic information intelligent control hybrid model base on multi-agent system that perform the basic interface, planning and support services for managing different types of demand responsive transportation. In this research it is exposed 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 established that is effective for reducing traffic congestion and air pollution.

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