Next Article in Journal
Simplified Model of Humidity in the Space of a Protective Mask and Experimental Verification—A Pilot Study
Previous Article in Journal
Fault Prediction Method Towards Rolling Element Bearing Based on Digital Twin and Deep Transfer Learning
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles

1
Department of Transportation and Logistics Engineering, Hanyang University Erica Campus, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Republic of Korea
2
Department of Smart City Engineering, Hanyang University Erica Campus, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan 15588, Republic of Korea
3
Department of Transport Technology Research, Korea Transport Institute, 370 Sicheong-daero, Sejong-si 30147, Republic of Korea
4
Department of Urban Engineering/Engineering Research Institute, Gyeongsang National University, 501 Jinju-daero, Jinju 52828, Republic of Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(23), 12512; https://doi.org/10.3390/app152312512
Submission received: 28 October 2025 / Revised: 22 November 2025 / Accepted: 23 November 2025 / Published: 25 November 2025
(This article belongs to the Special Issue Intelligent Transportation and Mobility Analytics)

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.
Keywords: autonomous vehicles; take-over request lead time; driving behavioral interaction; multi-agent driving simulator; multi-criteria decision-making autonomous vehicles; take-over request lead time; driving behavioral interaction; multi-agent driving simulator; multi-criteria decision-making

Share and Cite

MDPI and ACS Style

Ko, J.; Oh, C.; Kim, H.; Kang, K.; Kim, S. Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles. Appl. Sci. 2025, 15, 12512. https://doi.org/10.3390/app152312512

AMA Style

Ko J, Oh C, Kim H, Kang K, Kim S. Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles. Applied Sciences. 2025; 15(23):12512. https://doi.org/10.3390/app152312512

Chicago/Turabian Style

Ko, Jieun, Cheol Oh, Hoseon Kim, Kyeongpyo Kang, and Seoungbum Kim. 2025. "Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles" Applied Sciences 15, no. 23: 12512. https://doi.org/10.3390/app152312512

APA Style

Ko, J., Oh, C., Kim, H., Kang, K., & Kim, S. (2025). Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles. Applied Sciences, 15(23), 12512. https://doi.org/10.3390/app152312512

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop