Safety Enhancement of Adaptive Cruise Control Adapted to Driver Eyes-Off State
Advanced driver assistance systems (ADAS), such as adaptive cruise control (ACC), have been recently installed in passenger cars. Although the safety performance of these systems is limited in high-risk scenarios, some drivers overtrust the system and perform secondary tasks. Previous research indicated that drivers using ADAS tend to become distracted compared with manual driving. In contrast, the use of ACC has been reported to reduce the collision rate on highways by about half. This study aimed to clarify the mechanism of the effect of ACC on driver behavior and consequently mitigate accidents. Our previous experiments showed that driver reaction time to perform avoidance behaviors in high-risk scenes is shortened when using ACC, even if the driver is distracted. This paper first aims to elucidate the factors influencing driver risk-avoidance strategies in a potentially critical frontal collision scenario. The hypothesis is that the driver’s perception of tactile vehicle motion, accompanied by the deceleration of ACC active intervention, prompts risk awareness and avoidance. The hypothesis was verified through analysis of driver gaze movement and brake operation behavior in critical scenarios using driving simulator experiments. Based on the obtained results, the advanced driver assistance system longitudinal control laws adapted to the driver’s eyes-off state are proposed based on the high-risk scenarios. Finally, the driver acceptance and ability to reduce the risk of the proposed system were quantitatively evaluated using a driving simulator.
Authors
- Fumio Sugaya (ORCID: https://orcid.org/0009-0004-8706-5233)
- Yohei Fujinami (ORCID: https://orcid.org/0000-0002-4798-8955)
- Toshinori Okita
- Pongsathorn Raksincharoensak (ORCID: https://orcid.org/0000-0003-1974-2592)
- Shintaro Inoue (ORCID: https://orcid.org/0009-0008-7172-9903)
- N. Arai (ORCID: https://orcid.org/0009-0006-6445-0176)
- Masaaki Uechi
- Shounosuke Tsujiide
Institutions
- Toyota Motor Corporation (Japan) (JP)
- Tokyo University of Agriculture and Technology (JP)
Publication Details
- Journal
- Journal of Robotics and Mechatronics
- Published
- 2025-10-19
- DOI
- https://doi.org/10.20965/jrm.2025.p1162
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00