Distributed Topology Switching Strategy Designing for Heterogeneous Vehicle Platoons

Limin Zhang, Jian Sun*, Tao Cai

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Cooperative adaptive cruise control(CACC), as one of the most important technologies of intelligent transportation system(ITS), combines the adaptive cruise control(ACC) with short range communication(DSRC), which can make the platooning distance much more smaller and can avoid collision efficiently. As we all know, the more information the vehicles can receive from the platoon, the better overall stability the vehicles can keep. However, that will lead to an increase in communication resource consumption and cause signal interference with the surrounding vehicles. Therefore, we need to make a tradeoff between the stability of the platoon and communication expense when designing the platoon controller. In this paper we proposed a distributed topology switching algorithm for heterogeneous vehicle platoon, by which the vehicles can switch communication topology automatically according to their state changes and design the liner controller based on the patial given topology. We can learn from the simulation results that the proposed topology switching strategy can balance the control performance and communication spending obviously.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PublisherIEEE Computer Society
Pages734-738
Number of pages5
ISBN (Print)9781538660898
DOIs
Publication statusPublished - 21 Aug 2018
Event14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States
Duration: 12 Jun 201815 Jun 2018

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2018-June
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference14th IEEE International Conference on Control and Automation, ICCA 2018
Country/TerritoryUnited States
CityAnchorage
Period12/06/1815/06/18

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