DOI QR코드

DOI QR Code

Comparison Analysis of the Road Environment between Urban and Suburban Area for Connected and Automated Driving(CAD) Mobility Services

교통소외지역 자율주행 모빌리티 서비스를 위한 도로 환경 분석 : 대구광역시와 세종특별자치시를 중심으로

  • Kim, Ahreum (Dept. of Road Transport, The Korea Transport Institute) ;
  • Woo, Boram (Dept. of Road Transport, The Korea Transport Institute) ;
  • Tak, Sehyun ;
  • Lim, Seohyun (Dept. of Road Transport, The Korea Transport Institute)
  • 김아름 (한국교통연구원 광역.도시교통연구본부) ;
  • 우보람 (한국교통연구원 광역.도시교통연구본부) ;
  • 탁세현 (한국교통연구원 모빌리티전환연구본부) ;
  • 임서현 (한국교통연구원 광역.도시교통연구본부)
  • Received : 2022.10.05
  • Accepted : 2022.10.17
  • Published : 2022.10.31

Abstract

The introduction of Connected and Automated(CAD) technology has a growing interests especially in areas with low demand for transport, where often the local transport services do not connect to peripheral areas for more efficient and convenient mobility services. However, there are few researches on CAD-based mobility services in areas with low demand for transport. Because current researches are mainly focuses on introduction of CAD-based mobility services in area with high demand for transport such as urban and highway. These two areas have different road environments and these differences require different driving technology especially related to Operational Design Domain(ODD). ODD is important factors for introduction of CAD-based mobility services. Therefore, we compare the road environments of areas with low demand for transport and areas with high demand for transport in terms of ODD. In addition, this paper proposes suggest guidance for the introduction of CAD-based mobility services in areas with low demand for transport such as rural and suburban areas.

최근 고령사회로 접어든 우리나라에서 고령자가 밀집한 교통소외지역의 이동권 확보를 위해 자율주행 서비스가 대두되고 있다. 기존의 자율주행 관련 연구들은 도시 및 고속도로와 같은 교통수요가 많은 지역에 초점이 맞춰져 있고, 교통소외지역에 자율주행 서비스를 제공하기 위한 연구는 부족한 실정이다. 이를 위해서 교통소외지역의 도로 환경 및 인프라 환경을 조사하는 것이 선행되어야 한다. 도시와 교통소외지역의 도로 환경 차이는 자율주행에 중요한 요소인 운행설계영역(ODD)와 관련된 주행 기술을 필요로 한다. 본 연구에서는 운행설계영역 측면에서 교통소외지역과 도시지역 간 유사한 도로 환경 요소와 차이를 보이는 요소를 비교 분석하였다. 교통소외지역의 도로 환경 중 Sidewalk, Boarding zones, Slope는 도시지역 여건과 차이를 보여 자율주행 운행설계영역 확장을 위한 기술적 고려가 필요한 상황이다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원(22AMDP-C160549-02)으로 수행하였습니다.

References

  1. British Standards Institution(BSI)(2020), PAS 1883:2020, Operational Design Domain (ODD) taxonomy for an automated driving system (ADS)-Specification.
  2. Cho, M. H. and Park, J. Y.(2015), The situation of the elderly in rural areas and measures to improve policies, Korea Rural Economic Institute, p.11.
  3. Czarnecki, K.(2018), "Operational Design Domain for Automated Driving Systems. Taxonomy of Basic Terms", Waterloo Intelligent Systems Engineering(WISE) Lab, University of Waterloo, Canada.
  4. Environmental Systems Research Institute(ESRI), https://pro.arcgis.com/en/pro-app/2.8/tool-reference/spatial-analyst/slope.htm, 2022.07.12.
  5. Gouda, M., Chowdhury, I., Weiss, J., Epp, A. and El-Basyouny, K.(2021), "Automated assessment of infrastructure preparedness for autonomous vehicles", Automation in Construction, vol. 129, p.103820. https://doi.org/10.1016/j.autcon.2021.103820
  6. Jiang, L., Chen, H. and Chen, Z.(2022), "City readiness for connected and autonomous vehicles: A multi-stakeholder and multi-criteria analysis through analytic hierarchy process", Transport Policy, vol. 128, pp.13-24. https://doi.org/10.1016/j.tranpol.2022.09.012
  7. Kim, J. W.(2018), "Detection and Recognition of Traffic Lights for Unmanned Autonomous Driving", Journal of the Korea Institute of Information, Electronics, and Communication Technology, vol. 11, no. 6, pp.751-756.
  8. Korean Statistical Information Service(KOSIS)(2021), https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1IN1503, 2022.07.02.
  9. Lim, S. H. and Hong, S. G.(2019), Revitalizing Demand-Responding Mobility Service in Declining Local Cities, The Korea Transport Institute, pp.1-195.
  10. MOIS(Ministry of the Interior and Safety)(2021), Special inspection in areas with high risk of elderly pedestrian traffic accidents, Press Release.
  11. Park, J. H. and Yun, D. G.(2018), "The recognition prioritization of road environment for supporting autonomous vehicle", Journal of the Korea Academia-Industrial, vol. 19, no. 2, pp.595-601.
  12. Society of Automotive Engineers(SAE)(2020), SAE J3216, Surface Vehicle Information Report:(R) Taxonomy and Definitions for Terms Related to Cooperative Driving Automation for On-Road Motor Vehicles.
  13. Society of Automotive Engineers(SAE)(2021), SAE J3016, Surface Vehicle Recommended Practice:(R) Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles.
  14. Thorn, E., Kimmel, S. C., Chaka, M. and Hamilton, B. A.(2018), A framework for automated driving system testable cases and scenarios(No.DOT HS 812 623), U.S. Department of Transportation, National Highway Traffic Safety Administration.
  15. UN(United Nations)(2015), World Population Aging 2015.
  16. Winner, H., Lemmer, K., Form, T. and Mazzega, J.(2019), "PEGASUS-First steps for the safe introduction of automated driving", In Road Vehicle Automation 5, Springer, Cham, pp.185-195.