A predictive road traffic management system based on vehicular ad-hoc network

Nafi, N, Khan, R, Khan, J and Gregory, M 2014, 'A predictive road traffic management system based on vehicular ad-hoc network', in Mark A. Gregory, Horace King, Krzysztof Pawlikowski, Harsha R. Sirisena, Shui Yu (ed.) Proceedings of the Australasian Telecommunication Networks and Applications Conference (ATNAC 2014), Melbourne, Australia, 26-28 November 2014.


Document type: Conference Paper
Collection: Conference Papers

Title A predictive road traffic management system based on vehicular ad-hoc network
Author(s) Nafi, N
Khan, R
Khan, J
Gregory, M
Year 2014
Conference name ATNAC 2014
Conference location Melbourne, Australia
Conference dates 26-28 November 2014
Proceedings title Proceedings of the Australasian Telecommunication Networks and Applications Conference (ATNAC 2014)
Editor(s) Mark A. Gregory, Horace King, Krzysztof Pawlikowski, Harsha R. Sirisena, Shui Yu
Publisher IEEE
Place of publication United States
Abstract With an increasing number of vehicles on the road, demand for intelligent transportation systems is on the rise. In this paper, we present a predictive road traffic management system (PRTMS) based on the Vehicular Ad-hoc Network (VANET) architecture. The proposed PRTMS uses a novel communications scheme to estimate the future traffic intensities at different intersections based on a modified linear prediction algorithm. Based on the prediction, a central controller reduces the congestion level by re-routing the vehicles and adaptively changing the signaling cycles. An IEEE 802.11p based vehicle to-infrastructure communications system is used to collect trip information and transmit control signals to enforce multi-junction traffic flow control. Simulations are conducted using an integrated OPNET model comprised of road infrastructure, vehicular mobility management and communications networking to jointly examine the performances of the proposed PRTMS and the VANET. The results indicate that the proposed scheme provides a significant performance improvement in terms of total journey time and waiting time of the vehicles. In addition, the performance of the prediction algorithm is also investigated.
Subjects Wireless Communications
Data Communications
Keyword(s) Intelligent Transportation System
Road Traffic Informatics
Vehicular Ad-hoc Network
DOI - identifier 10.1109/ATNAC.2014.7020887
Copyright notice ©2014 IEEE
ISBN 9781479950447
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
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