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Title: Intelligent control method for traffic flow at urban intersection based on vehicle networking

Authors: Minglei Song; Rongrong Li; Binghua Wu

Addresses: School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China

Abstract: In order to overcome the problems of large number of queued vehicles and high delay in current traffic control methods for urban intersection, this paper proposes an intelligent traffic control method based on vehicle network for urban intersection. This method uses the vehicle network to design the intelligent traffic control architecture of urban intersection, which is divided into data acquisition layer, data processing layer and intelligent traffic control layer. Data processing layer is divided into vehicle data processing unit (on-board unit, OBU) and data transmission unit (road side unit, RSU). Two-way data transmission between vehicle and wide area network is realised. Green duration optimisation mechanism is introduced to realise intelligent control of traffic flow at intersections. The experimental results show that the proposed method has fewer queued vehicles, better control performance and reliability as well as lower vehicle delay.

Keywords: vehicle networking; urban intersection; traffic flow; intelligent control.

DOI: 10.1504/IJISCM.2020.112046

International Journal of Information Systems and Change Management, 2020 Vol.12 No.1, pp.35 - 52

Received: 26 Sep 2019
Accepted: 23 Aug 2020

Published online: 23 Dec 2020 *

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