An intelligent traffic information service system based on agent and GIS-T

Advanced traffic information service system not only provide timely and accurate traffic information for traffic management personnel who can effectively adapt the traffic management control system to a variety of traffic conditions and road network capacity, but also help road users, effectively avoiding traffic jams, reducing traffic accidents. However, the existing dynamic traffic information is released for widely audience. If most of the drivers use the dynamic traffic information to plan real-time travel routes, then the overall traffic system may be disturbed largely, and a new traffic jam come into being at the same time avoiding the existing traffic jam. Based on the GIS spatial data model and the theory of multi-agent, we study a dynamic traffic information services technology based on collaborative multi-agent methods in order to get the better travel path through enhancing the interaction and collaboration between the information providers and travelers. Then the experimental prototype system is designed and developed based on the swarm platform and java language, and some analysis data is produced by the prototype system.