e-space
Manchester Metropolitan University's Research Repository

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

Djahel, Soufiene and Jabeur, Nafaa and Nait-Abdesselam, Farid and Wolstencroft, Thomas (2020) A WAVE based and Collaboration driven Framework for Reduced Traffic Congestion in Smart Cities. IEEE Intelligent Transportation Systems Magazine. ISSN 1939-1390

[img]
Preview

Download (752kB) | Preview

Abstract

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.

Impact and Reach

Statistics

Downloads
Activity Overview
12Downloads
224Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item View Item