Optimal Path Solution of Urban Traffic Road

摘要：

Based on the deteriorating traffic conditions, three traffic parameters, path saturation, vehicle speed, road length were selected and computed for data fusion by D-S evidence theory to get the weight of each road, and then with pulse coupled neural network the optimal path was selected according to the calculated weights. Experimental results show that the method can not only shorten the travel time, but also effectively solve the problem of urban road congestion.

关键词： traffic parameters optimal path evidence theory pulse coupled neural network

作者: Xu Yongsheng Wang Jianling

作者单位: College of Electrical Engineering Northwest University for Nationalities Gansu, Lanzhou, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 818-820

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）