NDLI: An adaptive and VANETs-based Next Road Re-routing system for unexpected urban traffic congestion avoidance

Content Provider	IEEE Xplore Digital Library
Author	Shen Wang Djahel, S. McManis, J.
Copyright Year	2015
Description	Author affiliation: Sch. of Comput., Manchester Metropolitan Univ., Manchester, UK (Djahel, S.) \|\| Sch. of Electron. Eng., Dublin City Univ., Dublin, Ireland (Shen Wang; McManis, J.)
Abstract	Unexpected road traffic congestion caused by en-route events, such as car crashes, road works, unplanned parades etc., is a real challenge in today's urban road networks as it considerably increases the drivers' travel time and decreases travel time reliability. To face this challenge, this paper extends our previous work named Next Road Rerouting (NRR) by designing a novel vehicle rerouting strategy that can adapt itself to the sudden change of urban road traffic conditions. This is achieved through a smart calibration of the algorithmic and operational parameters of NRR without any intervention from traffic managers. Specifically, a coefficient of variation based method is used to assign weight values to three factors in the routing cost function of NRR, and the k-means algorithm is applied periodically to choose the number of NRR enabled agents needed. This adaptive-NRR (a-NRR) strategy is supported by vehicular ad-hoc networks (VANETs) technology as this latter can provide rich traffic information at much higher update frequency and much larger coverage than induction loops used in the previously proposed static NRR. Simulation results show that in the city center area of TAPASCologne scenario, compared to the existing vehicle navigation system (VNS) and static NRR, our adaptive-NRR can achieve considerable gain in terms of trip time reduction and travel time reliability improvement.
Starting Page	196
Ending Page	203
File Size	820277
Page Count	8
File Format	PDF
ISSN	21579865
e-ISBN	9781467394116
DOI	10.1109/VNC.2015.7385577
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-16
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Heuristic algorithms Conferences Cities and towns Routing Cost function Vehicles
Content Type	Text
Resource Type	Article

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