摘要
针对当前路口交通信号灯智能控制优化方法中存在的响应时间较长等不足,进行基于Veins平台的城市路口交通信号灯智能控制技术优化研究。利用Veins平台与GLD编辑器进行城市交通路网模拟,结合实际交通数据进行参数设置,采用分级模糊控制器对交通信号灯进行控制,调节信号灯各相位时长;根据路口车辆流通数据,以各路口车辆的最小平均延时作为优化目标函数,利用自适应遗传算法寻求最优解,获得信号灯各相位的最优时长分配方案。实验结果表明,与现行方法相比,新方法的优化响应时间更短,能满足时效性需求,准确性高,稳定性好,且能够减少车辆等待延时。
Aiming at the traffic congestion at urban intersections,it is necessary to optimize the intelligent control technology of intersection traffic signal lights.Based on Veins platform,it presents the intelligent control technology of traffic lights at urban intersections,analyzes the optimization response time existing in the current optimization method.It uses Veins platform and the GLD editor to simulate the urban traffic road network,and takes the actual traffic data to set the parameters,uses the hierarchical fuzzy controller to control the traffic lights and adjust the phase duration of the signal lights.It applies the minimum average delay as the optimization objective function,takes the adaptive genetic algorithm to obtain the optimal solution and the optimal duration allocation scheme.Comparing with the current method,the experimental results show that the optimized response time of this method is shorter,meets the timeliness requirement,and can reduce the waiting time of the vehicle.
作者
程小丹
Cheng Xiaodan(School of Highway,Chang'an University,Shaanxi Xi'an,710064,China)
出处
《机械设计与制造工程》
2019年第11期32-35,共4页
Machine Design and Manufacturing Engineering
