The Intelligent Control System of Traffic Light Based on Fog Computing
The Intelligent Control System of Traffic Light Based on Fog Computing作者机构：Department of Automation and Information Engineering Xi’an University of Technology
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2018年第27卷第6期
页 面：1265-1270页
核心收录：
学科分类：08[工学] 082303[工学-交通运输规划与管理] 0835[工学-软件工程] 0802[工学-机械工程] 082302[工学-交通信息工程及控制] 080201[工学-机械制造及其自动化] 0823[工学-交通运输工程]
基 金：supported by Shaanxi Province Hundred Talents Program,the Key Research and Development Plan of Shaanxi Province(No.2017ZDCXL-GY-05-01) National Natural Science Foundation of China(No.61272509)
主 题：Traffic lights Intersection Fog computing Real-time Traffic efficiency
摘 要：The continuous increase of city motors with the improvement of society has introduced extraordinary demanding situations for the traffic situation of the *** traffic has proposed a diversity of solutions to relieve urban traffic accidents and congestion and other troubles. It cannot regulate the cycle of traffic light in real time in keeping with the occurring traffic flux which additionally, may produce the traffic jam to result in the increase for the range of automobiles and the longer of passage time. In purpose to surmount the shortcomings of traditional traffic light control, this paper is presenting a form of intelligent control system for traffic light founding on fog computing. It calculates and shares the traffic flux situation at the intersection and the surrounding intersection through fog computing platform. Regarding the traffic flow at the intersection and the traffic flow at the surrounding intersection as the parameters, the intelligent control algorithm of traffic light is designed for achieving mutual coordination and mutual influence between different intersections, so that the traffic efficiency of each intersection is improved and the traffic flow of the entire transport network is alleviated. The simulation results showed this intelligent control system progress the traffic efficiency of every intersection and relieve the traffic flow of the whole transport network.
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