Autonomous Merging System in Traffic Congestion with Dynamic Adjustment of Decision Thresholds
合流判断閾値の動的調整を伴う渋滞時の自律合流システムの開発
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266237
- Paper/Info type
- Proceedings (Autumn)
No.141-26
- Pages
- 1-2(Total 2 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 岩佐 拓未, 2) 禹 ハンウル |
|---|---|
| Author(E) | 1) Takumi Iwasa, 2) Hanwool Woo |
| Affiliation(J) | 1) 工学院大学, 2) 工学院大学 |
| Affiliation(E) | 1) Kogakuin University, 2) Kogakuin University |
| Abstract(J) | 本研究では，人間ドライバの運転行動を模倣した判断アルゴリズムを用い，渋滞時の自動運転車の自律的な合流を実現する．交通流データに基づき再現したシミュレーション環境において，本線車両の速度や車間距離などの挙動に応じて合流判断の閾値を動的に調整することで，固定閾値では困難な柔軟な合流判断を可能とした． Translation |
| Abstract(E) | This study achieves autonomous merging for automated vehicles during traffic congestion by implementing a decision-making algorithm that accurately mimics human driving behavior. Utilizing a simulation environment constructed from empirical traffic flow data, the proposed system dynamically adjusts the specific thresholds required for merging maneuvers. These adjustments are continuously made in response to the real-time behaviors of mainline vehicles, including their travel speeds and inter-vehicular distances. By employing this dynamic adjustment mechanism, the system successfully enables flexible and adaptive merging decisions under dense traffic conditions, which are inherently difficult to achieve when relying solely on conventional, fixed decision thresholds. |
