CR-TMS: Connected Vehicles enabled Road Traffic Congestion Mitigation System using Virtual Road Capacity Inflation

Soufiene Djahel, Yassine Hadjadj-Aoul, Renan Pincemin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Road traffic management experts are constantly striving to develop, implement, and test a number of novel strategies to reduce traffic congestion impact on the economy, society, and the environment. Despite their efforts, these strategies are still inefficient and a call for advanced multidisciplinary approaches is needed. We, therefore, introduce in this paper an original traffic congestion mitigation strategy inspired by a well-known technology in wireless communications, i.e. cognitive radio technology. Our strategy exploits Connected Vehicles technology along with the often under-utilized reserved lanes, such as bus and carpool lanes, to virtually inflate the road network capacity to ease traffic congestion situations. Two variants of our strategy have been evaluated using simulation and the obtained results are very promising in terms of the achieved reduction in average travel time for different vehicle classes including buses as well.

Original languageEnglish
Title of host publication2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728141497
ISBN (Print)9781728141503
DOIs
Publication statusPublished - 24 Dec 2020
Externally publishedYes
Event23rd IEEE International Conference on Intelligent Transportation Systems - Rhodes, Greece
Duration: 20 Sep 202023 Sep 2020
Conference number: 23

Conference

Conference23rd IEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC 2020
Country/TerritoryGreece
CityRhodes
Period20/09/2023/09/20

Fingerprint

Dive into the research topics of 'CR-TMS: Connected Vehicles enabled Road Traffic Congestion Mitigation System using Virtual Road Capacity Inflation'. Together they form a unique fingerprint.

Cite this