Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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A Road Environment Analysis for the Introduction of Connected and Automated Driving-based Mobility Services from an Operational Design Domain Perspective

자율주행기반 모빌리티 서비스 도입을 위한 운행설계영역 관점의 도로환경 분석

  • Bo-Ram, WOO (Korea Transport Institute, Department of Metropolitan and Urban Transport) ;
  • Ah-Reum, KIM (Korea Transport Institute, Department of Metropolitan and Urban Transport) ;
  • Yong-Jun, AHN (Daejeon Sejong Research Institute) ;
  • Se-Hyun, TAK (Korea Transport Institute, Department of Mobility Transformation, Center for Connected and Automated Driving Research)
  • 우보람 (한국교통연구원 광역도시교통연구본부) ;
  • 김아름 (한국교통연구원 광역도시교통연구본부) ;
  • 안용준 (대전세종연구원 세종연구실) ;
  • 탁세현 (한국교통연구원 모빌리티전환연구본부 자율협력주행연구센터)
  • Received : 2022.11.16
  • Accepted : 2022.12.02
  • Published : 2022.12.31
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Abstract

As connected and automated driving(CAD) technology is entering its commercialization stage, service platforms providing CAD-based mobility services have increased these days. However, CAD-baded mobility services with these platforms need more consideration for the demand for mobility services when determining target areas for CAD-based mobility services because current CAB-based mobility design focus on driving performance and driving stability. For a more efficient design of CAD-based mobility services, we analyzed the applicability for the introduction of CAD-based mobility services in terms of driving difficulty of CAD and demand patterns of current non-CAD based-mobility services, e.g., taxi, demand-responsive transit(DRT), and special transportation systems(STS). In addition, for the spatial analysis of the applicability of the CAD-based mobility service, we propose the Index for Autonomous Driving Applicability (IADA) and analyze the characteristics of the spatial distribution of IADA from the network perspective. The analysis results show that the applicability of CAD-based mobility services depends more on the demand patterns than the driving difficulty of CAV. In particular, the results show that the concentration pattern of demand in a specific road link is more important than the size of demand. As a result, STS service shows higher applicability compared to other mobility services, even though the size of demand for this mobility service is relatively small.

최근 자율주행 기술이 상용화 단계로 접어들며, 자율주행기반 모빌리티 서비스를 제공하는 서비스 플랫폼이 늘어나고 있다. 현재 자율주행 기반 모빌리티 서비스들은 자율주행차량의 주행 성능과 기능에 초점을 맞추어 서비스를 제공하고 있으므로 모빌리티 수단별 교통수요와 통행 특성을 고려한 서비스 지역을 선정하는 데에 한계가 있다. 따라서, 본 연구에서는 기존 모빌리티 서비스인 택시와 수요응답형 교통수단, 특별교통수단의 실제 교통 데이터를 활용하여 모빌리티 수단별 통행 특성을 분석하고 자율주행 적용 가능성을 검토한다. 이를 위해 모빌리티 서비스별 주요 사용 네트워크를 도출하고 전문가 조사를 기반으로 네트워크별 자율주행 난이도를 산정하여 모빌리티 서비스별 자율주행 적용 지수를 산출한다. 분석 결과, 수요가 분산된 형태의 모빌리티 서비스보다는 밀집된 형태의 서비스에서 자율주행 서비스 제공이 효율적인 것으로 확인된다. 또한 네트워크에 할당된 통행수요가 높고 자율주행 난도가 낮은 분포가 가장 큰 것은 특별교통수단으로 도출되었다.

Keywords

Acknowledgement

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

References

  1. Ahn, H.J., Y.I. Lee. 2006. Research on modeling and application of public transportation OD and network based on stations, Journal of Korean Society of Transportation. 54: 13-22
  2. Bielli, M., M. Caramia and P. Carotenuto. 2002. Genetic algorithms in bus network optimization. Transportation Research Part C: Emerging Technologies. 10(1):19-34. https://doi.org/10.1016/S0968-090X(00)00048-6
  3. Fan, W., R.B. Machemehl. 2006. Optimal transit route network design problem with variable transit demand: genetic algorithm approach. Journal of transportation engineering. 132(1):40-51. https://doi.org/10.1061/(ASCE)0733-947X(2006)132:1(40)
  4. Jang, K.Y., H.B. Kim, H.S. Park and S.B. Park. 2011. A Study of Origin and Destination Decision for a Direct Bus Line in a City with Transit Mobility and Potential Demand, Journal of the Korean Society of Civil Engineers D. 31(4):547-553
  5. Korea Transportation Safety Authority(TS). 2021. https://www.kotsa.or.kr/portal/contents.do?menuCode=01080500 (Accessed November 01, 2022).
  6. Kwon Y.H., Y.J. Choung, H.J. Cho and B.Y. Gu. 2021. A Study on Building the HD Map Prototype Based on Web GIS for the Generation of the Precise Road Maps. Journal of the Korean Association of Geographic Information Studies. 24(2):102-116
  7. Lee, C.H., S.Y. Kim and J.S. Choi. 2014. A Study on Low-Floor Bus Routes Selection - Focused on the Case of Jeollabuk-Do, The Journal of The Korea Institute of Intelligent Transport Systems. 13(4):73-85 https://doi.org/10.12815/kits.2014.13.4.073
  8. MOLIT, KAIA. 2022. Final Report of Empirical Research on Public Transportation Systems Utilizing Autonomous Driving
  9. MOLIT, KAIA. 2022. Final Report on Urban Road Autonomous Driving Cooperative Driving Safety and Infrastructure Research 
  10. MOLIT, Land, Infrastructure and Transport. 2020. Act On Promotion Of The Transportation Convenience Of Mobility Disadvantaged Persons Article 2
  11. National Highway Traffic Safety Administration. 2018. A Framework for Automated Driving System Testable Cases and Scenarios.
  12. Park Y.K., W.P. Kang, J.E. Choi and B.J. Kim. 2019. A study on the evaluation of real-time map update technology for automated driving. Journal of the Korean Association of Geographic Information Studies. 22(3):146-154
  13. Park, J.H., K.W. Nam. 2015. A Study on the Low-Floor Bus Route Selection Considering a Residential Distribution and Traffic Characteristics of the Transportation Vulnerable: A Case of Busan, Journal of the Korean Association of Geographic Information Studies. 18(2):161-173. https://doi.org/10.11108/kagis.2015.18.2.161
  14. SAE. 2020. SAE J3216, Surface Vehicle Information Report:(R) Taxonomy and Definitions for Terms Related to Cooperative Driving Automation for On-Road Motor Vehicles.
  15. SAE. 2021. SAE J3016, Surface Vehicle Recommended Practice:(R) Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles.
  16. Son, S.Y., J.Y. Lee and K.H. Jang. 2021. Development of Demonstration Scenarios for Autonomous Cooperative Driving on Urban Roads. Transportation Technology and Policy. 18(5):61-68
  17. Won S.Y., Y.J. Jeon, H.W. Jeong, C.O. Kwon. 2020. A Comparison of Korea Standard HD Map for Actual Driving Support of Autonomous Vehicles and Analysis of Application Layers. Journal of the Korean Association of Geographic Information Studies. 23(3):132-145