单交叉口交通信号控制优化研究  

Study on Traffic Signal Control Optimization at Single Intersection

作　　者：胡凯旋 邱建东[1] HU Kai-xuan;QIU Jian-dong

机构地区：[1]兰州交通大学机电技术研究所

出　　处：《内蒙古公路与运输》2019年第3期53-58,共6页Highways & Transportation in Inner Mongolia

基　　金：国家自然科学基金项目(61663021);甘肃省自然科学基金项目(1610RJZA048)

摘　　要：为了解决现有路网条件下交叉口通行效率低的问题,提出了一种改进型模糊控制方法,并且以平均延误作为单交叉口信号控制的最终评价参数。针对二维模糊控制器中模糊规则库依赖人工经验的问题,使用有较好寻优能力的最优-最差蚁群算法对模糊规则库进行优化调节,并使用VISSIM8.0进行建模,将仿真时间设置为600s,仿真证明,优化后的控制方法在平均延误上优于定时控制和模糊控制,能够有效提高路网的通行效率。In order to solve the problem of low traffic efficiency at intersections under existing road network conditions,an improved fuzzy control method is proposed,and the average delay is taken as the final evaluation parameter of signal control at single intersection.In order to solve the problem that the fuzzy rule base of two-dimensional fuzzy controller depends on human experience,the Best-Worst Ant Colony Algorithm with better optimization ability is used to optimize and adjust the fuzzy rule base.VISSIM8.0 is used to model the fuzzy rule base,and the simulation time is set to 600 seconds.The simulation results show that the optimized control method is superior to timing control and fuzzy control in average delay and can be used to improve the efficiency of road network.

关 键 词：智能交通 模糊控制 二维模糊控制器 最优-最差蚁群算法 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]