A WAVE based and Collaboration driven Framework for Reduced Traffic Congestion in Smart Cities

Djahel, Soufiene ORCID: https://orcid.org/0000-0002-1286-7037, Jabeur, Nafaa, Nait-Abdesselam, Farid and Wolstencroft, Thomas (2021) A WAVE based and Collaboration driven Framework for Reduced Traffic Congestion in Smart Cities. IEEE Intelligent Transportation Systems Magazine, 13 (4). pp. 251-261. ISSN 1939-1390

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Official URL: https://ieeexplore.ieee.org/document/9031339

Abstract

The fast emergence of autonomous vehicles promises a drastic change on how road traffic congestion is detected, controlled, and mitigated. To this end, we believe that it is beneficial to explore different ways of collaboration between autonomous vehicles, with the aid of modern road infrastructure, to optimize the commuters’ travel time. We, therefore, propose in this paper a novel solution based on a multi-parties collaboration framework and built upon the WAVE standard to optimize the usage of the road network and lower commuters’ travel time. Our solution, which is based on a Belief-Desire-Intention architecture, enables autonomous vehicles to opt for selfish or collaborative behaviors depending on their goals and current situations. The results obtained from our preliminary prototype under three representative road maps demonstrate the effectiveness of our approach in dealing with traffic congestion.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	17 Sep 2019 11:37
Publisher:	Institute of Electrical and Electronics Engineers
Additional Information:	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Faculties > Science and Engineering Research Centres > Centre for Advanced Computational Science
Subject terms:	Smart transportation, road traffic congestion, vehicular communication, multi-parties collaboration
URI:	https://e-space.mmu.ac.uk/id/eprint/623877
DOI:	https://doi.org/10.1109/MITS.2019.2953487
ISSN	1939-1390
e-ISSN	1941-1197

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