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A Methodology on System Implementation for Road Monitoring and Management Based on Automated Driving Hazard Levels

위험도 기반 도로 모니터링 및 관리 시스템 구축 방안

  • Kyuok, Kim (Center for Future Vehicles, Korea Transport Institute) ;
  • Sang Soo, Lee (Department of Transportation System Engineering, Ajou University) ;
  • SunA, Cho (Dept. of Mobility Transformation, Korea Transport Institute)
  • 김규옥 (한국교통연구원 미래차연구센터) ;
  • 이상수 (아주대학교 교통시스템공학과) ;
  • 조선아 (한국교통연구원 모빌리티전환연구본부)
  • Received : 2022.11.16
  • Accepted : 2022.12.06
  • Published : 2022.12.31

Abstract

The ability of an automated driving system is based on vehicle sensors, judgment and control algorithms, etc. The safety of automated driving system is highly related to the operational status of the road network and compliant road infrastructure. The safe operation of automated driving necessitates continuous monitoring to determine if the road and traffic conditions are suitable and safe. This paper presents a node and link system to build a road monitoring system by considering the ODD(Operational Design Domain) characteristics. Considering scalability, the design is based on the existing ITS standard node-link system, and a method for expressing the monitoring target as a node and a link is presented. We further present a technique to classify and manage hazard risk into five levels, and a method to utilize node and link information when searching for and controlling the optimal route. Furthermore, we introduce an example of system implementation based on the proposed node and link system for Sejong City.

자율주행시스템은 자율주행 센서, 판단 및 제어 알고리즘 등을 기반으로 스스로 자율주행할 수 있는 기능을 갖추고 있다. 자율주행의 안전성은 도로 네트워크의 운영 상태와 관련성이 높고 도로 인프라와의 협력이 필요하다. 자율주행의 안전한 운행을 위해서는 지속적으로 도로와 교통 조건이 적합한지를 모니터링 할 필요가 있다. 본 연구는 자율주행시스템의 ODD (Operational Design Domain) 특성에 따라 선정된 모니터링 항목을 관리할 수 있는 체계를 구축하기 위한 노드와 링크 체계를 제시하였다. 확장성을 고려하여 기존의 ITS 표준 노드링크 체계를 기반으로 하였으며, 모니터링 대상을 노드와 링크로 표출하는 방안을 제시하였다. 위험도를 5단계로 구분하고 관리하는 방안과 최적경로 탐색 및 통제 시 노드와 링크의 정보를 활용하는 방안을 제시하였다. 세종시를 대상으로 제시된 노드와 링크체계를 기반으로 한 시스템구축 사례를 소개하였다.

Keywords

Acknowledgement

본 연구는 국토교통부 자율주행 기술개발 혁신사업의 연구비 지원(과제 번호: 22AMDP-C161992-02)에 의해 수행되었습니다.

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