WU Qiong, HE Fanfan, FAN Xiumei, “The Intelligent Control System of Traffic Light Based on Fog Computing,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1265-1270, 2018, doi: 10.1049/cje.2018.09.015
Citation: WU Qiong, HE Fanfan, FAN Xiumei, “The Intelligent Control System of Traffic Light Based on Fog Computing,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1265-1270, 2018, doi: 10.1049/cje.2018.09.015

The Intelligent Control System of Traffic Light Based on Fog Computing

doi: 10.1049/cje.2018.09.015
Funds:  This work is supported by Shaanxi Province Hundred Talents Program, the Key Research and Development Plan of Shaanxi Province (No.2017ZDCXL-GY-05-01) and National Natural Science Foundation of China (No.61272509).
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  • Corresponding author: FAN Xiumei (corresponding author) received the B.E. degree from Tianjin University and received the Ph.D. degree in communication and control engineering from Beijing Jiaotong University, China. She is a professor of Xi'an University of Technology and Shaanxi Province Hundred Talents Program. She has also (co-) authored more than 90 technical papers. Her research interests includes vehicular networks, fog computing, and various aspects of broadband wireless networks. (Email:xmfan@xaut.edu.cn)
  • Received Date: 2017-11-20
  • Rev Recd Date: 2018-05-25
  • Publish Date: 2018-11-10
  • The continuous increase of city motors with the improvement of society has introduced extraordinary demanding situations for the traffic situation of the town. Intelligent 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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