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Quick and Autonomous Platoon Maintenance in Vehicle Dynamics For Distributed Vehicle Platoon Networks

Published: 18 April 2017 Publication History

Abstract

Platoon systems, as a type of adaptive cruise control systems, will play a significant role to improve travel experience and roadway safety. The stability of a platoon system is crucial so that each vehicle maintains a safety distance from its proceeding vehicle and can take necessary actions to avoid collisions. However, current centralized platoon maintenance method cannot meet this requirement. We suggest to use a decentralized platoon maintenance method, in which each vehicle communicates with its neighbor vehicles and self-determines its own velocity. However, a vehicle needs to know its distance from its preceding vehicle to determine its velocity, which is unavailable in vehicle communication disconnection caused by vehicle dynamics (i.e., node joins and departures). Thus, a formidable challenge is: how to recover the platoon quickly in vehicle dynamics even when the distance information is unavailable? To handle this challenge, we first profile a succeeding vehicle's velocity to minimize the time to recover the connectivity hole with its preceding vehicle and find that the profiles are almost the same at the beginning regardless of its current velocity and distance to its preceding vehicle. Accordingly, we devise a strategy, in which a succeeding vehicle uses its stored common velocity profile when it is disconnected from its preceding vehicle and then adjusts its velocity once the connection is built. Experimental results from simulation show the efficiency and effectiveness of our decentralized platoon maintenance method.

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  • (2024)A Cascaded Multi-Agent Reinforcement Learning-Based Resource Allocation for Cellular-V2X Vehicular Platooning NetworksSensors10.3390/s2417565824:17(5658)Online publication date: 30-Aug-2024
  • (2024)Monkey See, Monkey Do: Constant Time Delay Leader Following for Wheeled Mobile Robots using Uncertainty-Tuned Model Predictive Control2024 IEEE International Systems Conference (SysCon)10.1109/SysCon61195.2024.10553558(1-8)Online publication date: 15-Apr-2024
  • (2024)Detection and Mitigation of Vehicle Platooning Disruption AttacksVehicular Communications10.1016/j.vehcom.2024.100765(100765)Online publication date: Apr-2024
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cover image ACM Conferences
IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation
April 2017
353 pages
ISBN:9781450349666
DOI:10.1145/3054977
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 April 2017

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Author Tags

  1. CACC
  2. Distributed Network
  3. Platoon

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Cited By

View all
  • (2024)A Cascaded Multi-Agent Reinforcement Learning-Based Resource Allocation for Cellular-V2X Vehicular Platooning NetworksSensors10.3390/s2417565824:17(5658)Online publication date: 30-Aug-2024
  • (2024)Monkey See, Monkey Do: Constant Time Delay Leader Following for Wheeled Mobile Robots using Uncertainty-Tuned Model Predictive Control2024 IEEE International Systems Conference (SysCon)10.1109/SysCon61195.2024.10553558(1-8)Online publication date: 15-Apr-2024
  • (2024)Detection and Mitigation of Vehicle Platooning Disruption AttacksVehicular Communications10.1016/j.vehcom.2024.100765(100765)Online publication date: Apr-2024
  • (2024)From da Vinci to cybersecurity: tracing the evolution of autonomous vehicles and ensuring safe platooning operationsDiscover Mechanical Engineering10.1007/s44245-024-00053-83:1Online publication date: 23-Jul-2024
  • (2022)Vehicular Platoon Communication: Architecture, Security Threats and Open ChallengesSensors10.3390/s2301013423:1(134)Online publication date: 23-Dec-2022
  • (2022)Coordinated Multi-Platooning Planning for Resolving Sudden Congestion on Multi-Lane FreewaysApplied Sciences10.3390/app1217862212:17(8622)Online publication date: 28-Aug-2022
  • (2020)Truck platoon security: State-of-the-art and road aheadComputer Networks10.1016/j.comnet.2020.107658(107658)Online publication date: Nov-2020
  • (2019)Model Checking Longitudinal Control in Vehicle Platoon SystemsIEEE Access10.1109/ACCESS.2019.29354237(112015-112025)Online publication date: 2019
  • (2018)A Data-Driven Misbehavior Detection System for Connected Autonomous VehiclesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870652:4(1-21)Online publication date: 27-Dec-2018
  • (2018)Cloud Assisted Traffic Redundancy Elimination for Power Efficiency in Smartphones2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS.2018.00060(371-379)Online publication date: Oct-2018
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