Accelerating Sophisticated Automated Driving System Development and Evaluation through Proactive Multi-Agent Traffic Simulation
マルチエージェント交通流シミュレーションの積極的利活用に基づく自動運転技術の開発と成熟度の可視化
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265317
- Paper/Info type
- Proceedings (Spring)
No.74-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) 北島 創, 2) 遠藤 駿, 3) 内田 信行, 4) 山崎 邦夫, 5) 菅沼 直樹, 6) 奥野 唯, 7) 田島 淳 |
|---|---|
| Author(E) | 1) Sou Kitajima, 2) Shun Endo, 3) Nobuyuki Uchida, 4) Kunio Yamazaki, 5) Naoki Suganuma, 6) Tadashi Okuno, 7) Jun Tajima |
| Affiliation(J) | 1) 日本自動車研究所, 2) 日本自動車研究所, 3) 日本自動車研究所, 4) 日本自動車研究所, 5) 金沢大学, 6) OS企画, 7) 三咲デザイン |
| Affiliation(E) | 1) JARI, 2) JARI, 3) JARI, 4) JARI, 5) Kanazawa University, 6) OS Planning, 7) Misaki Design |
| Abstract(J) | 我が国の深刻な公共交通の課題解決においては一般道を安全かつ安定して走行可能な自動運転技術の実装が欠かせない．本研究では自動運転車とマルチエージェント交通流シミュレーションが接続する仮想評価環境の積極的な利活用を通じた自動運転技術の高度化を進めるともに，高度化した度合いを可視化する指標を提案する． Translation |
| Abstract(E) | This paper proposes a systematic evaluation methodology to accelerate the development of sophisticated Automated Driving Systems (ADS) by proactively utilizing multi-agent traffic simulation. Advanced ADSs are expected to continuously improve their collision avoidance capabilities and tactical driving performance within the operational design domain through frequent software updates. The proposed virtual testing platform enables comprehensive and iterative evaluation of integrated ADS performance under diverse and interactive traffic conditions. It supports developers in achieving reliable ADS behavior prior to real-world deployment by facilitating quantitative assessment of the system's ability to anticipate and mitigate potential safety risks and disruptions to surrounding traffic flow. |
