Abstract：Various new types of Internet plus transportation are emerging and a large number of data resources have appeared. To build China's strength in transportation it is importank to make better use of big data technology to promote intelligent transportation. Aiming at the shortcomings of the traditional signal control system such as low optimization frequency and poor integrity of data acquisition equipment this paper develops an intelligent signal control system using ride hailing vehicle trajectory data. The architecture and characteristics of the control system, as well as optimization techniques, are introduced. Field experiments in Jinan, Wuhan and Liuzhou, respectively, have demonstrated that without relying on channelization and intersection reconstruction, only through signal control optimization and software upgrades, the average delay times of morning and evening peak hours and vehicle stop times are decreased by 10%-20%, thus effectively alleviating traffic congestion across the whole city level.
张博, 庞基敏, 章文嵩, 郄小虎, 刘向宏. 互联网大数据技术在智慧交通发展中的应用[J]. 科技导报, 2020, 38(9): 47-54.
ZHANG Bo, PANG Jimin, ZHANG Wensong, QIE Xiaohu, LIU Xianghong. Application of big data technology in the development of intelligent transportation. Science & Technology Review, 2020, 38(9): 47-54.
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2020, Vol. 38 
