Research on Adaptive Regional Traffic Control Strategies Selection Method

摘要：

This paper uses regional saturation and speed as evaluation index, uses one of the traffic control region as research object, VISSIM as the test platform. Operation effect of different traffic control strategies under different traffic situations are simulated, so as to select the optimum traffic control strategy for corresponding traffic situation. Meanwhile, this paper proposes an adaptive traffic control strategy selection method based on fuzzy neural network. At last, a simulation is done with this method to offer the region with different traffic control strategies. By comparing the effect of time-variant strategies and the fixed strategies, we come to the conclusion that timevariant strategies are more excellent than the fixed strategies and the adaptive traffic control strategy selection method based on fuzzy neural network is validate and usable.

作者: Qing Guan Zhaosheng Yang Yuan Wang Yonghua Ruan

作者单位: Shanghai Baokang Electronic Control Engineering Co, Ltd Traffic & Transportation College of Jilin Un Traffic & Transportation College of Jilin University Shanghai Baokang Electronic Control Engineering Co, Ltd

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1564-1568

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）