Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories
For consumers to have confidence in the safety of automated vehicles (AVs), AVs must be assessed using systematically developed scenarios to verify driving safety and reliability. In particular, verification using scenarios has been widely performed for the assessment and certification of AVs. This...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/24/7981 |
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| author | Woori Ko Minkyu Shim Sangmin Park Soomok Lee Ilsoo Yun |
| author_facet | Woori Ko Minkyu Shim Sangmin Park Soomok Lee Ilsoo Yun |
| author_sort | Woori Ko |
| collection | DOAJ |
| description | For consumers to have confidence in the safety of automated vehicles (AVs), AVs must be assessed using systematically developed scenarios to verify driving safety and reliability. In particular, verification using scenarios has been widely performed for the assessment and certification of AVs. This study aims to develop test cases based on driving trajectories to assess the driving safety of AVs. To achieve this, concrete scenarios were systematically developed from functional and logical scenarios. Drone video data analysis was conducted to extract representative lane-change trajectories for AVs on expressway ramp sections. Subsequently, the test cases were selected from concrete scenarios through simulations using time-to-steer (TTS). Finally, the effectiveness of utilizing trajectories for scenario-based driving safety assessments was verified. Furthermore, it is expected that this approach can be applied to other driving patterns by providing a detailed procedure for the test case developed in this study. |
| format | Article |
| id | doaj-art-915f35fb7d99433badf4e5b8ec196438 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-915f35fb7d99433badf4e5b8ec1964382025-08-20T02:01:29ZengMDPI AGSensors1424-82202024-12-012424798110.3390/s24247981Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving TrajectoriesWoori Ko0Minkyu Shim1Sangmin Park2Soomok Lee3Ilsoo Yun4Department of Transportation Engineering, Ajou University, Suwon 16499, Republic of KoreaMobility Department, TÜV SÜD Korea Ltd., Seoul 07326, Republic of KoreaDepartment of Road Transport Research, The Korea Transport Institute, Sejong 30147, Republic of KoreaDepartment of AI Mobility Engineering, Ajou University, Suwon 16499, Republic of KoreaDepartment of Transportation System Engineering, Ajou University, Suwon 16499, Republic of KoreaFor consumers to have confidence in the safety of automated vehicles (AVs), AVs must be assessed using systematically developed scenarios to verify driving safety and reliability. In particular, verification using scenarios has been widely performed for the assessment and certification of AVs. This study aims to develop test cases based on driving trajectories to assess the driving safety of AVs. To achieve this, concrete scenarios were systematically developed from functional and logical scenarios. Drone video data analysis was conducted to extract representative lane-change trajectories for AVs on expressway ramp sections. Subsequently, the test cases were selected from concrete scenarios through simulations using time-to-steer (TTS). Finally, the effectiveness of utilizing trajectories for scenario-based driving safety assessments was verified. Furthermore, it is expected that this approach can be applied to other driving patterns by providing a detailed procedure for the test case developed in this study.https://www.mdpi.com/1424-8220/24/24/7981test casesdriving safetyassessmenttrajectoryautomated vehicles |
| spellingShingle | Woori Ko Minkyu Shim Sangmin Park Soomok Lee Ilsoo Yun Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories Sensors test cases driving safety assessment trajectory automated vehicles |
| title | Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories |
| title_full | Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories |
| title_fullStr | Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories |
| title_full_unstemmed | Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories |
| title_short | Development of Test Cases for Automated Vehicle Driving Safety Assessment Using Driving Trajectories |
| title_sort | development of test cases for automated vehicle driving safety assessment using driving trajectories |
| topic | test cases driving safety assessment trajectory automated vehicles |
| url | https://www.mdpi.com/1424-8220/24/24/7981 |
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