THE DESIGN OF INTERSECTION FUZZY CONTROLLER AND OPTIMIZATION BASED ON ANT COLONY ALGORITHM

摘要：

A fuzzy controller is designed on the basis of the original controller that can change the phase flexibility. In order to overcome the shortcomings of the control rules that are designed subjectively, the ant colony algorithm is used for optimal control roles. This can reduce the number of control rules and make the control better. The simulation proves that this design adapts to the complex traffic environment, and reduces traffic delays effectively.

关键词： Intersection Ant colony algorithm Fuzzy control

作者: WENGE MA GUANGQI SUN JIANQIANG WANG

作者单位: Information College, Liaoning University of Technology, Jinzhou 121001, P.R.China Transportation Management College, Dalian Maritime University

会议类型: 国际会议

会议名称: The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)

会议地点: 大连

会议语种:英文

页码: 978-983

在线出版日期: 2008-12-18（万方平台首次上网日期，不代表论文的发表时间）