A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors
Currently, the level of automated driving technology is level 3 service in Korea, and the level 4 service has been launched overseas and is reaching the stage of commercialization. For commercialization, it is necessary not only to stabilize automated driving technology but also to prepare for servi...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/477 |
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| author | Tagyoung Kim Kyeong-pyo Kang |
| author_facet | Tagyoung Kim Kyeong-pyo Kang |
| author_sort | Tagyoung Kim |
| collection | DOAJ |
| description | Currently, the level of automated driving technology is level 3 service in Korea, and the level 4 service has been launched overseas and is reaching the stage of commercialization. For commercialization, it is necessary not only to stabilize automated driving technology but also to prepare for service applications. To apply and expand automated driving services, it is most urgent to secure the safety of automated driving technology, and it is necessary to prepare for efficient procedures and methods suitable for automated driving services. In this study, considering the two aspects of AV manufacturer and service provider, the spatial factors affecting the safety of ADS are estimated using disengagement information in the level 3 service field data in Korea, and the method is proposed to select the automated driving service sections using spatial information analysis. To validate the method, the matching rate is compared and analyzed by applying it to the other testbed, which is currently being prepared for the level 4 car sharing service. According to validation results, it judged that the proposed method could be used to select the automated driving service section efficiently in the planning stage before deploying AVs and providing services. |
| format | Article |
| id | doaj-art-2df6134cbf59478a9e8fa49d12e7b537 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-2df6134cbf59478a9e8fa49d12e7b5372025-01-10T13:15:41ZengMDPI AGApplied Sciences2076-34172025-01-0115147710.3390/app15010477A Method of Selecting Automated Driving Service Sections Considering Spatial Influence FactorsTagyoung Kim0Kyeong-pyo Kang1Department of Transport Technology Research, Korea Transport Institute, 370 Sicheong-daero, Sejong-si 30147, Republic of KoreaDepartment of Transport Technology Research, Korea Transport Institute, 370 Sicheong-daero, Sejong-si 30147, Republic of KoreaCurrently, the level of automated driving technology is level 3 service in Korea, and the level 4 service has been launched overseas and is reaching the stage of commercialization. For commercialization, it is necessary not only to stabilize automated driving technology but also to prepare for service applications. To apply and expand automated driving services, it is most urgent to secure the safety of automated driving technology, and it is necessary to prepare for efficient procedures and methods suitable for automated driving services. In this study, considering the two aspects of AV manufacturer and service provider, the spatial factors affecting the safety of ADS are estimated using disengagement information in the level 3 service field data in Korea, and the method is proposed to select the automated driving service sections using spatial information analysis. To validate the method, the matching rate is compared and analyzed by applying it to the other testbed, which is currently being prepared for the level 4 car sharing service. According to validation results, it judged that the proposed method could be used to select the automated driving service section efficiently in the planning stage before deploying AVs and providing services.https://www.mdpi.com/2076-3417/15/1/477automated driving servicespatial ODDspatial information analysisfactors influencing safetyautomated driving service selecting method |
| spellingShingle | Tagyoung Kim Kyeong-pyo Kang A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors Applied Sciences automated driving service spatial ODD spatial information analysis factors influencing safety automated driving service selecting method |
| title | A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors |
| title_full | A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors |
| title_fullStr | A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors |
| title_full_unstemmed | A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors |
| title_short | A Method of Selecting Automated Driving Service Sections Considering Spatial Influence Factors |
| title_sort | method of selecting automated driving service sections considering spatial influence factors |
| topic | automated driving service spatial ODD spatial information analysis factors influencing safety automated driving service selecting method |
| url | https://www.mdpi.com/2076-3417/15/1/477 |
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