会议专题

The Research of Dynamic Path Planning for Centralized Vehicle Navigation

A new dynamic path planning algorithm for centralized vehicle navigation has been proposed. Base on A* search, the total cost of path is divided into three components: static cost, dynamic cost and predictive cost. Static cost depends on topology of road network, dynamic cost represents traffic information in real-time, and predictive cost comes from previous results of path planning. In order to check the validity of new algorithm, a simulative program is developed with VC++ 6.0 language and MapX tool. Experimental results show that the new dynamic path planning algorithm not only can regulate the flow of traffic in the whole road network effectively with a little extra travel cost for users, but also can avoid the phenomenon mentioned in the Braess Paradox.

centralized navigation path planning dynamic traffic information

Wei Hong Yantao Tian Yong Xu

School of Communication Engineering Jilin University Changchun, Jilin Province, China

国际会议

2007 IEEE International Conference on Automation and Lofistics

山东济南

英文

2007-08-18(万方平台首次上网日期,不代表论文的发表时间)