Verification of Effectiveness of Traffic Management by CACC on Highway Merging Using Networked Driving Simulator with Ten Human Drivers
- 提供方法
- 他サイトにて提供・販売
- 入手方法の確認はこちら
- 文献番号
- 20264528
- 文献・情報種別
- International Journal of Automotive Engineering
Vol.17 No.3
- 掲載ページ
- 127-135(Total 9 p)
- 発行年月
- 2026年 7月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
書誌事項
| カテゴリ（英） | Research paper 翻訳 |
|---|---|
| 著者（英） | 1) Tohru Yoshioka, 2) Keisuke Suzuki, 3) Hironori Suzuki, 4) Jun Tajima |
| 勤務先（英） | 1) Mazda Motor Corporation / Kagawa University, 2) Kagawa University, 3) Toyo University, 4) Misaki Design, LLC |
| 抄録（英） | Personal mobility supports social participation and well-being, yet highway merging remains stressful and risky. Driving behavior is influenced by prediction errors between actual traffic and drivers' predictions. We hypothesized that designing traffic environments to improve driver prediction accuracy can effectively assist drivers. We previously proposed position-triggered speed management using Cooperative Adaptive Cruise Control (CACC) vehicles near highway merging sections to smooth merging by reducing speed differentials between merging and mainline vehicles. However, empirical validation of speed differentials' impact on drivers' merging experience was lacking due to no methods for evaluating human interactions in mixed traffic involving human-driven vehicles (HDVs) and CACC vehicles. To address this, we developed a networked multi-driver driving simulator (NMDDS) allowing ten participants to interact in a virtual merging environment, essential for studying complex driver dynamics in real traffic. Experimental results showed CACC speed management effectively moderated mainline HDV speeds near merging sections, with effectiveness depending on CACC penetration rate. We clarified how personality traits relate to subjective evaluations like perceived danger and merging difficulty. Structural Equation Modeling (SEM) also indicated relative speed between merging and mainline vehicles significantly influences these factors. These findings empirically support that reducing speed differentials improves merging comfort and safety. Future research will implement methods to further minimize speed differentials, including managing merging vehicle speeds and refining adaptive speed control strategies, aiming to enhance safety and driver intuitiveness during highway merging. 翻訳 |
