考虑时段交通流交通灯工作状态的智能优化  

Intelligent optimization of traffic light opperating states considering time traffic flow

作　　者：谢溪凌[1] 肖建波[1] 张昊[1] 谭玉莹[1] 倪明安[1] 刘阳[1] 张志富[1] 郑卫刚[1] 

机构地区：[1]武汉理工大学物流工程学院

出　　处：《汽车安全与节能学报》2012年第3期251-256,共6页Journal of Automotive Safety and Energy

摘　　要：为了节能减排并缓解中国武汉城市交通压力,设计了一种考虑时段交通流交通灯工作状态智能优化系统。针对目前武汉市交通灯的各个状态的工作时间相对固定的缺陷,利用检测装置,监测道路上的车流量,并反馈给单片机控制系统。在不改变武汉市原有交通灯控制设备的基础上,制作出一种随车流量的改变而改变通行时间的智能交通灯,并且融入物联网技术,采用了Matlab实现粒子群算法优化,进行优化设计,即根据实时交通状况灵活地改变切换交通灯的工作状态。结果表明:与Webster算法比较,粒子群优化算法计算的车辆通行时间平均减少20%。因此,可减小车辆的怠速时间,节约怠速油耗。An intelligent optimization system was developed in consideration of traffic light operating states and time traffic flow to save energy and alleviate the pressure on the urban traffic in Wuhan, China. Since Wuhan＇s traffic light working time is relatively fixed, the system uses detecting apparatus to monitor the traffic on the road and then feedbacks collected signals to the microcontroller control system. Adaptive intelligent traffic lights were designed based on the existing traffic light control equipments in Wuhan, with content networking technologies being used and particle swarm optimization being achieved using Matlab software. The results show that the particle swarm optimization algorithm reduces the average vehicle traffic time by 20% compared with the Webster algorithm, with the vehicle idle time reduced and the idle oil consumption saved.

关 键 词：城市交通 节能减排 时段交通流 交通灯 智能优化 单片机 

分 类 号：U49[交通运输工程—交通运输规划与管理]