Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles
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.
Authors
- Kyeong-Pyo Kang (ORCID: https://orcid.org/0000-0002-4289-2778)
- Seoungbum Kim (ORCID: https://orcid.org/0000-0001-8209-3359)
- Cheol Oh (ORCID: https://orcid.org/0000-0002-1431-9480)
- Jieun Ko (ORCID: https://orcid.org/0000-0003-1627-4340)
- Hoseon Kim (ORCID: https://orcid.org/0000-0002-3910-5876)
Institutions
- Gyeongsang National University (KR)
- Korea Transport Institute (KR)
- Hanyang University (KR)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-11-25
- DOI
- https://doi.org/10.3390/app152312512
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Land, Infrastructure and Transport
- Korea Agency for Infrastructure Technology Advancement