DOI QR코드

DOI QR Code

Study on Establishment of Development Strategy for K-City Based on Analysis of Domestic and Overseas Automated Vehicle Testbeds

국내외 자율주행차 테스트베드 분석 기반 K-City 발전 전략 수립에 관한 연구

  • Kim, Yejin (Dept. of Transportation Eng., Ajou University) ;
  • Park, Sangmin (Dept. of Transportation Eng., Ajou University) ;
  • Kim, Inyoung (Dept. of Transportation Eng., Ajou University) ;
  • Ko, Hangeom (Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority) ;
  • Cho, Seongwoo (Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority) ;
  • Yun, llsoo (Dept. of Transportation Eng., Ajou University)
  • 김예진 (아주대학교 교통공학과) ;
  • 박상민 (아주대학교 교통시스템공학과) ;
  • 김인영 (아주대학교 교통공학과) ;
  • 고한검 (한국교통안전공단 자동차안전연구원 자율주행실) ;
  • 조성우 (한국교통안전공단 자동차안전연구원 자율주행실) ;
  • 윤일수 (아주대학교 교통공학과)
  • Received : 2021.07.16
  • Accepted : 2021.08.05
  • Published : 2021.08.31

Abstract

85-90% of the causes of traffic accidents are human factors, and autonomous vehicles with little free running distance can be an alternative to prevent traffic accidents caused by human factors. However, securing safety of autonomous vehicles should be preceded in order to reduce traffic accident damage through the introduction of autonomous vehicles. Therefore, it is necessary to verify whether the vehicle can respond appropriately to changes in the road and traffic environment through repeated and reproduced test runs in an environment similar to the actual road. In this study, K-City's development strategies for upgrading, differentiating, and systematic development were established by comparing and analyzing the current status of domestic and foreign testbeds and business environment analysis. Furthermore, we derive challenge tasks to achieve each strategy.

교통사고의 발생원인 중 85-90%는 인적요인으로서, 인지·판단·제어 속도가 빠른 자율주행차는 인적요인으로 인한 교통사고를 예방하기 위한 대안이 될 수 있다. 그러나 자율주행차 도입을 통한 교통사고 피해 감소를 위해서는 자율주행의 안전성 확보가 선행되어야 한다. 따라서 실도로와 유사한 환경에서 반복·재현 시험주행을 통해 도로·교통 환경 변화에 따라 자율주행차가 적절하게 대응할 수 있는지를 검증할 필요가 있다. 이 연구에서는 기구축된 국내외 테스트베드의 현황 비교·분석 및 자율주행차 실험도시(K-City)의 경영환경분석(PEST, SWOT 분석)을 통해 K-City의 고도화 및 차별화, 체계적인 발전을 위한 다양한 관점에서의 전략을 수립하였으며, 각 발전 전략을 달성하기 위한 전략 과제를 도출하였다.

Keywords

Acknowledgement

이 논문은 국토교통부 및 국토교통과학기술진흥원의 연구비지원(21AMDP-C162184-01)에 의해 수행되었습니다. 본 논문은 2021년 한국ITS학회 춘계학술대회에 발표된 논문을 수정 및 보완하여 작성하였음을 밝힙니다.

References

  1. Cao H., Sandip G., Ali R., Mohamed G. and Josef E.(2016), "A 5G V2X testbed for cooperative automated driving," 2016 IEEE Vehicular Networking Conference(VNC), pp.1-4.
  2. Chang H., Choi W. and Tho H.(2012), "A Study on Establishment of National Science and Technology Strategy Applying PEST-SWOT-AHP: A Case Study of Fusion R&D," Journal of Korea Technology Innovation Society, vol. 15, no. 4, pp.766-782.
  3. Doric I., Dierk A., Sebastian W. and Schoner H. P.(2019), "Test System for Safe Automated Driving," ATZ Worldwide, vol. 121, no. 1, pp.58-63. https://doi.org/10.1007/s38311-018-0186-5
  4. Intelligent Transportation Society of Korea(2017), StandardITS, vol. 25. pp.4-27.
  5. International Road Transport Union(IRU), https://www.iru.org/resources/newsroom/professional-training-safer-roads, 2021.04.04.
  6. Jang C., Jang J. and Song J.(2018), "Analysis of Impacts of Autonomous Vehicles and Car-sharing on Spatial Configuration in Urban Areas: Focusing on Parking Demand," The Korea Spatial Planning Review, vol. 99, pp.151-169. https://doi.org/10.15793/kspr.2018.99..009
  7. Jeonbuk Institute of Automotive Convergence Technology(JIAT), http://www.jiat.re.kr/content/index.sgk?gubun=facility3&dname=facility, 2021.06.07.
  8. KDKA CBS Pittsburgh, https://pittsburgh.cbslocal.com/2020/12/01/waymo-opening-new-autonomous-vehicle-testing-site-in-ohio/, 2021.04.04.
  9. Ko H., Hong Y., Jo S., Nam B. and Kim D.(2017), "How to build an experimental city of the autonomous vehicle(K-City) based on User's Needs Survey," Korean Institute of ITS Conference, pp.196-203.
  10. Korea Automobile Journalists Association(KAJA), https://www.kaja.org/63/?idx=1717528&bmode=view, 2021.04.04.
  11. Korea Automobile Testing & Research Institute(KATRI)(2018), Annual report, Korea Transportation Safety Authority(TS), p.12.
  12. Korea Automobile Testing & Research Institute(KATRI), https://www.katri.or.kr/web/contents/katri2030205.do, Korea Transportation Safety Authority(TS), 2021.04.04.
  13. Korea Internet&Security Agency(KISA), https://www.kisa.or.kr/notice/press_View.jsp?mode=view&p_No=8&b_No=8&d_No=2025#, 2021.06.07.
  14. Lee H.(2021), Traffic safety sign IoT device development and application plan for providing autonomous driving traffic safety facility information, Department of Civil & Transport Engineering, Ajou University, pp.18-38.
  15. Ministry of Land, Infrastructure, and Transport(MOLIT) and Korea Agency for Infrastructure Technology Advancement(KAIA)(2019), Final report on automated vehicle safety assessment technology and testbed development, pp.10-61.
  16. Ministry of Land, Infrastructure, and Transport(MOLIT) and Korea Agency for Infrastructure Technology Advancement(KAIA)(2021), Research and Development plan for establishing a testbed environment for Lv.4 automated vehicle, pp.9-33.
  17. Ministry of Land, Infrastructure, and Transport(MOLIT) and Korea Agency for Infrastructure Technology Advancement)(KAIA)(2016), Detailed planning research report on the development of safety evaluation technology for autonomous vehicles and the establishment of road evaluation environment, pp.60-66.
  18. Ministry of Land, Infrastructure, and Transport(MOLIT), https://www.asiae.co.kr/article/2020061910363432615, 2021.08.01.
  19. Ministry of Land, Infrastructure, and Transport(MOLIT), https://www.korea.kr/news/pressReleaseView.do?newsId=156146209, 2021.04.30.
  20. Ministry of the Interior and Safety(MOIS)(2020), 「Regional-balanced New Deal」 promotion plan with region, pp.10-17.
  21. NetEase, https://www.163.com/dy/article/EB7RIFNH05327EN0.html#post_comment_area, 2021.04.04.
  22. Ryu J.(2011), "Exploring the SWOT Strategy of the Ulsan Metropolitan Government with SWOT Analysis," The Korean Journal of Local Government Studies, vol. 15, no. 1, pp.75-95.
  23. Seo B.(2019), "A Study on the Establishment of Platform for Smart Campus Ecosystem," Journal of Industrial Convergence, vol. 17, no. 3, pp.43-44.
  24. Seo J. and Bae S.(2016), "Developing Product Liability Response Strategies of SMEs using PEST-SWOT-AHP analysis," Journal of the Society of Korea Industrial and Systems Engineering, vol. 39, no. 2, pp.11-17. https://doi.org/10.11627/jkise.2016.39.2.011
  25. Traffic Accident Analysis System(TAAS), http://taas.koroad.or.kr/, 2021.04.04.
  26. Traffic Science Research(2019), A Study on the Evaluation Techniques and Model Development of Automated-driving AI Operation Capability I, The Road Traffic Authority(KoROAD), pp.30-74.