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Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ko, Jieun | - |
| dc.contributor.author | Oh, Cheol | - |
| dc.contributor.author | Kim, Hoseon | - |
| dc.contributor.author | Kang, Kyeongpyo | - |
| dc.contributor.author | Kim, Seoungbum | - |
| dc.date.accessioned | 2026-01-07T08:30:11Z | - |
| dc.date.available | 2026-01-07T08:30:11Z | - |
| dc.date.issued | 2025-11 | - |
| dc.identifier.issn | 2076-3417 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/81633 | - |
| dc.description.abstract | Autonomous vehicles (AVs) at SAE Levels 3 require a take-over request to switch from autonomous to manual mode when leaving the operational design domain (ODD). An appropriate take-over request lead time (TORlt) is necessary for safe interaction between AVs and non-AVs. This study developed a methodology to derive the optimal TORlt for AVs entering the area out of the ODD using a multi-agent driving simulator experiment. The multi-criteria decision-making method was adopted to integrate evaluation indicators to derive an optimal TORlt. The TORlt was defined as 3, 6, 9, 12, and 15 s in the driving simulation experiment scenario. The driving simulation experiment was conducted with a total of 60 participants. The simulation network was a two-lane urban road in each direction with a total length of 1.7 km, including a school zone where the autonomous driving mode is prohibited. Three requirements were established to determine the optimal TORlt: minimizing the take-over time, maximizing the success rate of take-over, and minimizing the potential of rear-end collisions due to vehicle interactions. After conducting comparative analyses of individual evaluation indicators for each scenario, a multi-criteria decision-making method was used for integrated evaluation to determine the optimal TORlt. It was found that the optimal TORlt for AVs on urban roads is 9 s. The results of this study can be used as valuable fundamentals in determining take-over requests for AVs toward safer vehicle interactions in the traffic stream. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/app152312512 | - |
| dc.identifier.scopusid | 2-s2.0-105024674439 | - |
| dc.identifier.wosid | 001634034000001 | - |
| dc.identifier.bibliographicCitation | Applied Sciences-basel, v.15, no.23 | - |
| dc.citation.title | Applied Sciences-basel | - |
| dc.citation.volume | 15 | - |
| dc.citation.number | 23 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordAuthor | autonomous vehicles | - |
| dc.subject.keywordAuthor | take-over request lead time | - |
| dc.subject.keywordAuthor | driving behavioral interaction | - |
| dc.subject.keywordAuthor | multi-agent driving simulator | - |
| dc.subject.keywordAuthor | multi-criteria decision-making | - |
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