TY - JOUR
T1 - A WAVE Based and Collaboration Driven Framework for Reduced Traffic Congestion in Smart Cities
AU - Djahel, Soufiene
AU - Jabeur, Nafaa
AU - Nait-Abdesselam, Farid
AU - Wolstencroft, Thomas
N1 - Publisher Copyright:
© 2009-2012 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - 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.
AB - 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.
KW - Road traffic
KW - Traffic congestion
KW - Intelligent vehicles
KW - Collaboration
KW - Smart cities
UR - http://www.scopus.com/inward/record.url?scp=85081615562&partnerID=8YFLogxK
U2 - 10.1109/MITS.2019.2953487
DO - 10.1109/MITS.2019.2953487
M3 - Article
AN - SCOPUS:85081615562
VL - 13
SP - 251
EP - 261
JO - IEEE Intelligent Transportation Systems Magazine
JF - IEEE Intelligent Transportation Systems Magazine
SN - 1939-1390
IS - 4
M1 - 9031339
ER -