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High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

2017; Institute of Electrical and Electronics Engineers; Volume: 55; Issue: 1 Linguagem: Inglês

10.1109/mcom.2017.1600371cm

1558-1896

Jianqi Liu, Jiafu Wan, Dongyao Jia, Bi Zeng, Di Li, Ching‐Hsien Hsu, Haibo Chen,

Software-Defined Networks and 5G

With the increasing number of vehicle and traffic jams, urban traffic management is becoming a serious issue. In this article, we propose novel four-tier architecture for urban traffic management with the convergence of VANETs, 5G networks, software-defined networks, and mobile edge computing technologies. The proposed architecture provides better communication and more rapid responsive speed in a more distributed and dynamic manner. The practical case of rapid accident rescue can significantly shorten the rescue time. Key technologies with respect to vehicle localization, data pre-fetching, traffic lights control, and traffic prediction are also discussed. Obviously, the novel architecture shows noteworthy potential for alleviating traffic congestion and improving the efficiency of urban traffic management.