Intelligent control method for traffic flow at urban intersection based on vehicle networking
by Minglei Song; Rongrong Li; Binghua Wu
International Journal of Information Systems and Change Management (IJISCM), Vol. 12, No. 1, 2020

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.

Online publication date: Wed, 23-Dec-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information Systems and Change Management (IJISCM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com