安全空間指数 (SSI):ドライバーの認識するリスクを定量化するための二次元メトリック
Renjing Tang1, Guangquan Lu2, Jinghua Wang1
1School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
Accident; analysis and prevention
|August 30, 2025
まとめ
新しい安全空間指数 (SSI) は,ドライバーの二次元的な主観的なリスク認識を定量化します. このメトリックは複雑な交通シナリオにおける人間の意思決定を より良くモデル化することで 自律運転システムを強化します
科学分野:
- 自動運転システム
- 人とコンピュータの相互作用
- 認知心理学
背景:
- 自動運転の進歩は 複雑な交通状況で人間の意思決定を 複製するシステムを必要としています
- ドライバーの認知メカニズムを理解することは 人間に合わせた自律的な反応を 開発するのに不可欠です
- 現在の主観的なリスク定量化方法は限られており,しばしば客観的な指標や一次元分析に焦点を当てています.
研究 の 目的:
- 安全空間指数 (SSI) という新しい二次元リスク認識メトリックを導入する.
- ダイナミックで二次元的なシナリオにおける主観的なリスクを包括的に特徴付ける既存の方法の限界に対処する.
- インテリジェント・ドライビング・システムにおける人間のような意思決定をモデル化するためのツールを提供すること.
主な方法:
- 心理的な安全な空間理論とリスクフィールドモデリングの統合
- 2次元リスク認識メトリック (SSI) の開発
- 車の追跡行動分析と反応時間の校正による実験的検証.
主要な成果:
- SSIはカーフォロー行動と 32.2%の相関性を改善し,0.92sの反応時間校正を達成しました.
- SSIは,人間の認知と一致して,同一のコンフリクトシナリオのドライバーの間で認識されたリスクを効果的に区別しました.
- SSIはリスクホメオスタシスを示し,目標レベルの正常分布と,平均目標レベル0. 50の強固なクロスシナリオ一般化を示した.
結論:
- 安全空間指数 (SSI) は,二次元運転環境における主観的なリスク認識を包括的に測定します.
- SSIは,人間のような行動モデリングと自律的な意思決定戦略のための重要な理論的サポートを提供します.
- SSIの適応性とスケーラビリティは,インテリジェント・ドライビング・システムを検証するための貴重なツールです.
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