Quick and autonomous platoon maintenance in vehicle dynamics for distributed vehicle platoon networks

Ankur Sarker, Chenxi Qiu, Haiying Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

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 ?nd 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.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)
PublisherAssociation for Computing Machinery, Inc
Pages203-208
Number of pages6
ISBN (Electronic)9781450349666
DOIs
StatePublished - Apr 18 2017
Externally publishedYes
Event2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 - Pittsburgh, United States
Duration: Apr 18 2017Apr 20 2017

Publication series

NameProceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)

Conference

Conference2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017
Country/TerritoryUnited States
CityPittsburgh
Period4/18/174/20/17

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering
  • Computer Networks and Communications

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