전 세계적으로 자율주행자동차의 개발이 활발히 진행됨에 따라 자율주행자동차에 대한 합리적이고 체계적인 평가 방법에 대한 요구가 증가하고 있다. 시뮬레이션 및 주행시험장(proving ground, PG)에서 수행하는 자율주행자동차 평가를 위한 시나리오, 평가 절차 및 방법관련 연구는 국제적으로 활발하게 진행되고 있다. 이에 비해, 실도로에서의 평가에 대한 방법 및 절차 등은 국제적으로 아직 초기 단계이다. 따라서, 향후 자율주행자동차의 상용화에 대비하여 실도로에서 자율주행자동차를 평가하는 것에 대한 연구가 진행될 필요가 있다. 본 연구에서는 실도로에서 자율주행자동차의 주행안전성 평가에 관한 기초적인 방향을 정의하고자 한다. 이를 위해 실도로에서의 자율주행자동차의 평가 방향과 프로세스를 제시했으며 주행안전성을 평가하기 위한 정성적 및 정량적 평가지표를 선정하였다. 실도로에서 자율주행자동차의 주행안전성 평가를 위한 정성적 평가항목으로 「도로교통법」을 기반으로 하여 총 38개의 항목을 선정하였다.
전 세계적으로 자율주행자동차의 개발이 활발히 진행됨에 따라 자율주행자동차에 대한 합리적이고 체계적인 평가 방법에 대한 요구가 증가하고 있다. 시뮬레이션 및 주행시험장(proving ground, PG)에서 수행하는 자율주행자동차 평가를 위한 시나리오, 평가 절차 및 방법관련 연구는 국제적으로 활발하게 진행되고 있다. 이에 비해, 실도로에서의 평가에 대한 방법 및 절차 등은 국제적으로 아직 초기 단계이다. 따라서, 향후 자율주행자동차의 상용화에 대비하여 실도로에서 자율주행자동차를 평가하는 것에 대한 연구가 진행될 필요가 있다. 본 연구에서는 실도로에서 자율주행자동차의 주행안전성 평가에 관한 기초적인 방향을 정의하고자 한다. 이를 위해 실도로에서의 자율주행자동차의 평가 방향과 프로세스를 제시했으며 주행안전성을 평가하기 위한 정성적 및 정량적 평가지표를 선정하였다. 실도로에서 자율주행자동차의 주행안전성 평가를 위한 정성적 평가항목으로 「도로교통법」을 기반으로 하여 총 38개의 항목을 선정하였다.
As the development automated vehicles(AV) actively progresses around the world, the demand for a reasonable and systematic evaluation method for AVs is increasing. Research on scenarios, evaluation procedures, and methods for evaluating AVs conducted in simulations and proving ground(PG) is actively...
As the development automated vehicles(AV) actively progresses around the world, the demand for a reasonable and systematic evaluation method for AVs is increasing. Research on scenarios, evaluation procedures, and methods for evaluating AVs conducted in simulations and proving ground(PG) is actively conducted internationally. In contrast, methods and procedures for evaluations on real roads are still in their infancy internationally. Therefore, it is necessary to conduct research on evaluating AVs on real roads in preparation for future use of AVs. This study aims to define the basic direction for evaluating the driving safety of AVs on real roads. To this end, the evaluation direction and process of AVs were presented on the real roads, and qualitative and quantitative evaluation indicators were selected to evaluate driving safety. A total of 38 items were selected based on the Road Traffic Act as qualitative evaluation items for evaluating the driving safety of AVs on real roads.
As the development automated vehicles(AV) actively progresses around the world, the demand for a reasonable and systematic evaluation method for AVs is increasing. Research on scenarios, evaluation procedures, and methods for evaluating AVs conducted in simulations and proving ground(PG) is actively conducted internationally. In contrast, methods and procedures for evaluations on real roads are still in their infancy internationally. Therefore, it is necessary to conduct research on evaluating AVs on real roads in preparation for future use of AVs. This study aims to define the basic direction for evaluating the driving safety of AVs on real roads. To this end, the evaluation direction and process of AVs were presented on the real roads, and qualitative and quantitative evaluation indicators were selected to evaluate driving safety. A total of 38 items were selected based on the Road Traffic Act as qualitative evaluation items for evaluating the driving safety of AVs on real roads.
American Automobile Association(AAA), https://www.8newsnow.com/news/local-news/aaa-survey-finds-86-of-drivers-afraid-to-ride-in-automated-vehicles/, 2021.09.30.
Bazilinskyy P., Stapel J., De Koning C., Lingmont H., De Lint T., Van der Sijs T., Van den Ouden F., Anema F. and De Winter J.(2018), "Graded auditory feedback based on headway: An on-road pilot study," Proceedings of the Human Factors and Ergonomics Society Europe, pp.115-126.
Centre of Excellence for Testing and Research of Autonomous Vehicles(2020), Scenario Categories for the Assessment of Automated Vehicles, pp.1-148.
Chae H. S., Jeong Y. H., Yi K. S., Choi I. S. and Min K. C.(2016), "Safety Performance Evaluation Scenarios for Extraordinary Service Permission of Autonomous Vehicle," Transactions of the Korean Society of Automotive Engineers, vol. 24, no. 5, pp.495-503.
Cho J. H., Park K. M., Han T. M., Jung Y. J., Jeon S. H. and Kim H. S.(2009), "An Analysis of ISO 26262 and its applications," The Korean Society of Automotive Engineers, pp.1697-1702.
Chung S. H., Ryu J. M., Chung N. S., Yu M. S., Pyun M. S. and Kim J. B.(2018), "A Study on Development of High Risk Test Scenario and Evaluation from Field Driving Conditions for Autonomous Vehicle," Journal of Auto-vehicle Safety Association, vol. 10, no. 4, pp.40-49.
Kim B. C.(2013), "Vehicle Functional Safety ISO 26262 Standard and Automobile Industry Response," The Institute of Electronics and Information Engineers, vol. 40, no. 5, pp.21-32.
Kim G. Y. and Jang J. S.(2011), "Hardware ASIL Quantitative Evaluation Procedure of ISO 26262," In Proceedings of the Korean Reliability Society Conference, The Korean Reliability Society, pp.271-279.
Lee J. M., Jung U. I. and Song B. S.(2020), "Critical Scenario Generation for Collision Avoidance of Automated Vehicles Based on Traffic Accident Analysis and Machine Learning," Transactions of the Korean Society of Automotive Engineers, vol. 28, no. 11, pp.817-826.
Lim H. H., Chae H. S., Lee M. G. and Lee K. S.(2017), "Development and Validation of Safety Performance Evaluation Scenarios of Autonomous Vehicle based on Driving Data," Journal of Auto-vehicle Safety Association, vol. 9, no. 4, pp.7-13.
Ministry of Land, Infrastructure and Transport(MOLIT), http://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?id95083829, 2021.09.30.
Navigant Research(2013), Autonomous Vehicles(Self-Driving Vehicles), Autonomous Parking, and Other Advanced Driver Assistance Systems: Global Market Analysis and Forecasts, 3Q.
Park S. H., Jeong H. R., Kim K. H. and Yun I. S.(2018), "Development of Safety Evaluation Sceanrio for Autonomous Vehicle Take-over at Expressways," The Korea Institute of Intelligent Transport Systems, vol. 17, no. 2, pp.142-151.
Park S. H., Park S. H., Hong Y. S., Ryu S. K. and Yun I. S.(2018), "Comparison of RSS Safety Distance for Safe Vehicle Following of Autonomous Vehicles," The Korea Institute of Intelligent Transport Systems, vol. 17, no. 6, pp.84-95.
Rosenser C., Fahrenkrog F., Uhlig A. and Eckstein L.(2016), "A Scenario-based Assessment Approach for Automated Driving by Using Time Series Classfication of Human-Driving Behaviour," 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.1360-1365.
Son M. H.(2020), "Virtual V&V Platform for Autonomous Driving Development," AUTO JOURNAL: Journal of the Korean Society of Automotive Engineers, vol. 42, no. 4, pp.22-26.
Sun Y., Xiong G., Song W., Gong J. and Chen H.(2014), "Test and Evaluation of Autonomous Ground Vehicles," Advances in Mechanical Engineering, vol. 6, 681326.
United Nations Economic Commission for Europe(UNECE)(2021), New Assessment/Test Method for Automated Driving(NATM)-Master Document, Economic and Social Council, pp.1-37.
Waymo(2021), Waymo Safety Report, pp.11-47.
Yun I. S., Lee C. K., Choi J. H. and Ko S. J.(2011), "Safety Assessment of Signalized Intersection Using SSAM : A Case of Actuated Signal Control," vol. 10, no. 6, pp.1-14.
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