An Adaptive Traffic-flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons

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aut.relation.articlenumber2481
aut.relation.endpage2481
aut.relation.issue5
aut.relation.journalSensors
aut.relation.startpage2481
aut.relation.volume23
dc.contributor.authorHota, Lopamudra
dc.contributor.authorNayak, Biraja Prasad
dc.contributor.authorSahoo, Bibhudatta
dc.contributor.authorChong, Peter HJ
dc.contributor.authorKumar, Arun
dc.date.accessioned2023-03-06T22:15:38Z
dc.date.available2023-03-06T22:15:38Z
dc.date.copyright2023-02-23
dc.description.abstractGlobally, the increases in vehicle numbers, traffic congestion, and road accidents are serious issues. Autonomous vehicles (AVs) traveling in platoons provide innovative solutions for efficient traffic flow management, especially for congestion mitigation, thus reducing accidents. In recent years, platoon-based driving, also known as vehicle platoon, has emerged as an extensive research area. Vehicle platooning reduces travel time and increases road capacity by reducing the safety distance between vehicles. For connected and automated vehicles, cooperative adaptive cruise control (CACC) systems and platoon management systems play a significant role. Platoon vehicles can maintain a closer safety distance due to CACC systems, which are based on vehicle status data obtained through vehicular communications. This paper proposes an adaptive traffic flow and collision avoidance approach for vehicular platoons based on CACC. The proposed approach considers the creation and evolution of platoons to govern the traffic flow during congestion and avoid collisions in uncertain situations. Different obstructing scenarios are identified during travel, and solutions to these challenging situations are proposed. The merge and join maneuvers are performed to help the platoon’s steady movement. The simulation results show a significant improvement in traffic flow due to the mitigation of congestion using platooning, minimizing travel time, and avoiding collisions.
dc.identifier.citationSensors, ISSN: 1424-8220 (Print); 1424-8220 (Online), MDPI AG, 23(5), 2481-2481. doi: 10.3390/s23052481
dc.identifier.doi10.3390/s23052481
dc.identifier.issn1424-8220
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/10292/15946
dc.languageen
dc.publisherMDPI AG
dc.relation.urihttps://www.mdpi.com/1424-8220/23/5/2481
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject4005 Civil Engineering
dc.subject40 Engineering
dc.subject3 Good Health and Well Being
dc.subject0301 Analytical Chemistry
dc.subject0502 Environmental Science and Management
dc.subject0602 Ecology
dc.subject0805 Distributed Computing
dc.subject0906 Electrical and Electronic Engineering
dc.subjectAnalytical Chemistry
dc.subject3103 Ecology
dc.subject4008 Electrical engineering
dc.subject4009 Electronics, sensors and digital hardware
dc.subject4104 Environmental management
dc.subject4606 Distributed computing and systems software
dc.titleAn Adaptive Traffic-flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons
dc.typeJournal Article
pubs.elements-id495373
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