An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons
Globally, 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, p...
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MDPI AG
2023-02-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/5/2481 |
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author | Lopamudra Hota Biraja Prasad Nayak Bibhudatta Sahoo Peter H. J. Chong Arun Kumar |
author_facet | Lopamudra Hota Biraja Prasad Nayak Bibhudatta Sahoo Peter H. J. Chong Arun Kumar |
author_sort | Lopamudra Hota |
collection | DOAJ |
description | Globally, 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. |
first_indexed | 2024-03-11T07:10:50Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T07:10:50Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-cb2bc970257f49f49dd392caba91df802023-11-17T08:35:23ZengMDPI AGSensors1424-82202023-02-01235248110.3390/s23052481An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular PlatoonsLopamudra Hota0Biraja Prasad Nayak1Bibhudatta Sahoo2Peter H. J. Chong3Arun Kumar4Department of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, IndiaDepartment of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, IndiaDepartment of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, IndiaDepartment of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandDepartment of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, IndiaGlobally, 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.https://www.mdpi.com/1424-8220/23/5/2481platoontraffic congestioncollision avoidanceCACCmerge maneuverjoin maneuver |
spellingShingle | Lopamudra Hota Biraja Prasad Nayak Bibhudatta Sahoo Peter H. J. Chong Arun Kumar An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons Sensors platoon traffic congestion collision avoidance CACC merge maneuver join maneuver |
title | An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons |
title_full | An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons |
title_fullStr | An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons |
title_full_unstemmed | An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons |
title_short | An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons |
title_sort | adaptive traffic flow management system with a cooperative transitional maneuver for vehicular platoons |
topic | platoon traffic congestion collision avoidance CACC merge maneuver join maneuver |
url | https://www.mdpi.com/1424-8220/23/5/2481 |
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