基于无线传感器网络的自适应交通信号灯控制系统  

Adaptive Traffic Signal Control System Based on Wireless Sensor Network

作　　者：晏勇 雷航[2] 赵晓雨 梁潘[3] YAN Yong;LEI Hang;ZHAO Xiaoyu;LIANG Pan(College of Electronic Information and Automation, Aba Teachers University, Wenchuan 623002, China;School of Information and Software Engineering, University of Electronic Science and Technology of China,Chengdu 610054, China;Department of Sergeant Management, Chengdu Aeronautical Vocational and Technical College, Chengdu 610100, China)

机构地区：[1]阿坝师范学院电子信息与自动化学院,四川汶川623002 [2]电子科技大学信息与软件工程学院,成都610054 [3]成都航空职业技术学院士官管理学院,成都610100

出　　处：《实验室研究与探索》2018年第12期90-93,191,共5页Research and Exploration In Laboratory

基　　金：国家自然基金项目(61373163);四川教育厅自科重点项目(17ZA0002)

摘　　要：为解决交叉路口交通信号灯周期指示车辆通行时间设置不合理的问题,设计了基于无线传感器网络(Wireless Sensor Networks,WSN)的自适应交通信号灯控制系统,交通信号灯控制节点组建WSN,接收信号强度指示(Received Signal Strength Indication,RSSI)测距算法测试交通灯与等待车辆排行距离,车辆排行距离经卡尔曼滤波降噪后输出,根据排行距离自动调整交通信号灯指示通行的时间。实验结果证明,系统提高了交叉路口车辆通行能力,有效缓解了城市交通压力,工作稳定、可靠,实用性强。In order to solve the problem that the traffic signal cycle of the intersection is not reasonable for the traffic time of the vehicles, an adaptive traffic light control system was designed based on wireless sensor network(WSN). All traffic signal control nodes form a WSN network, received signal strength indication (RSSI) is used to measure the distances of waiting vehicles by ranging algorithm, distances of waiting vehicles are processed by Kalman filter for noise reduction, traffic lights are adjusted automatically according to the ranging distances. The experimental results show that the system improves the capacity of traffic at the intersection and effectively relieves the traffic pressure of the city. The system is stable, reliable and practical.

关 键 词：无线传感器网络 自适应控制 交通信号灯 RSSI测距算法 卡尔曼滤波 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]