Title: Research and application of intersection traffic signal control algorithm based on vehicle location

Authors: Zhichao Wang; Min Li; Liang Tang; Jun Steed Huang

Addresses: Institute of Electronics and Information, Suqian College, Suqian 223800, China ' Institute of Electronics and Information, Suqian College, Suqian 223800, China ' Institute of Electronics and Information, Suqian College, Suqian 223800, China ' Wireless Mobi Solution, 9920 Pacific Heights Blvd, San Diego, CA 92121, USA

Abstract: This paper focuses on the optimising algorithms of signal timing of urban intersection combined with vehicle location using the platform of the new type of wireless electronic license plate system. With the traffic flow information obtained from the platform, a dynamic optimisation model with optimal control parameters of green light time of all four phases for single intersection is constructed. Then genetic algorithm is applied to obtain the satisfying signal timing scheme. In simulation examples, the proposed dynamic distribution method and the traditional time control method are compared. The results show that compared with the traditional time control method, in traffic rush hour, the genetic optimisation algorithm can reduce the waiting time by 23% with the same road vehicle capacity. At non-peak time, the proposed method can reduce the waiting time by 10%. Therefore, the introduced method can effectively reduce the total queue delay, and improve the traffic capacity of the intersection.

Keywords: electronic license plate; vehicle location; genetic algorithm.

DOI: 10.1504/IJCNDS.2020.106355

International Journal of Communication Networks and Distributed Systems, 2020 Vol.24 No.3, pp.249 - 261

Received: 07 Sep 2018
Accepted: 28 Oct 2018
Published online: 02 Apr 2020 *

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