Control of mixed platoons consist of automated and manual vehicles

Omer Orki, Shai Arogeti

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

2 Scopus citations

Abstract

Platooning has a great potential for improving highway traffic flow. Platooning research focuses on fully automated platoons. However, in the near future traffic will be mixed and will consist of automated and manually driven vehicles. This work introduces a new concept of mixed platoons, i.e., platoons consist of automated and manual vehicles. In a mixed platoon the automated vehicles are controlled as part of the mixed traffic, using global sight on traffic. This way the mixed traffic flow can be optimized using the automated vehicles. The mixed platoons control developed in this paper implements the same control components that are used for automated platoons, but modifies them to suit mixed traffic environment. That is, a new Information Flow Topology (IFT) and new Distributed Controller (DC) are developed for mixed platoons using H control methods. Subsequently, a string stability analysis for a mixed platoon is shown, demonstrates the feasibility and potential of mixed platoons.

Original languageEnglish
Title of host publication2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728101422
DOIs
StatePublished - 2019
Event8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Graz, Austria
Duration: 4 Nov 20198 Nov 2019

Publication series

Name2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings

Conference

Conference8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019
Country/TerritoryAustria
CityGraz
Period4/11/198/11/19

Keywords

  • Automated highways
  • Mixed Platoons
  • Platoon control
  • String stability
  • Traffic flow

ASJC Scopus subject areas

  • Control and Optimization
  • Transportation
  • Computer Networks and Communications
  • Automotive Engineering

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