Agent Simulation Model of Right-turning Motor Vehicles Crossing Through Bicvcles at Signalized Intersection Based on BP Neural Network

摘要：

Firstly, according to behavior analysis of right-turning motor vehicles crossing through bicycles at signalized intersection, a BP neural network decision model of vehicles-Agent is set up. Then, an Agent simulation model is built by the signalized intersection structure analysis. Finally, the simulation results of the typical intersection in Beijing show that the motor judgment ability on crossing time is accurate and intersection traffic capacity is improved, which indicates that the Agent simulation model based on BP neural network vehicles-Agent decision model is practical and effective.

关键词： crossin r BP neural network agent signalized intersectionss simulation

作者: Xing-qiang Zhang Zhen Wang Shen Wang

作者单位: MOE Key Laboratory for Transportation Complex Systems Theory and Technology Beijing Jiaotong Univers School of Traffic and Transportation Beijing Jiaotong University, 100044 Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 346-349

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）