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Control Strategy for Cooperative Driving Automation in Traffic Incidents

  • Sujin Kwag
  • , Byeongju Kang
  • , Hyeonsoo Jang
  • , Junyeop Park
  • , Yunhyoung Hwang*
  • *Corresponding author for this work
  • Korea Automotive Technology Institute

Research output: Contribution to conferenceConference paperpeer-review

Abstract

With the advancement on automated vehicle technology, the highly automated driving is expected to work in complicated traffic situations such as urban intersections and traffic incidents. However, the traffic incidents still remain a comprehensively challenging situation especially in the mixed traffic. To resolve this problem, a sophisticated control strategy is required to support the automated driving in these unexpected traffic situations. From this background, this study mainly focuses on developing a generalized control strategy to manage the automated vehicles driving in traffic incident situations. First, the representative scenarios are analyzed, and a generalized control strategy is elaborated based on the framework of cooperative driving automation. The proposed control strategy can be extended to more complicated situations, and it is expected to extend the operational design domain of automated vehicles.

Original languageEnglish
Title of host publication2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350347074
DOIs
StatePublished - 2023
Event2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 - Rome, Italy
Duration: 2023.05.102023.05.12

Publication series

Name2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

Conference

Conference2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Country/TerritoryItaly
CityRome
Period23.05.1023.05.12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Autonomous vehicle (AV)
  • Control strategy
  • Cooperative driving automation (CDA)
  • Intelligent transport system (ITS)
  • Mixed traffic condition
  • Traffic incidents

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