交通事故の際の都市道路ネットワークの回復力を向上させる
Jinqu Chen1, Yanni Ju2, Shaochuan Zhu1
1Public Security Department, Fujian Police College, Fuzhou, China.
PloS one
|September 2, 2025
まとめ
交通事故に対する救援チーム (RT) の派遣を最適化することで,都市道路ネットワーク (URN) の回復力を向上させます. この研究は,輸送コストを最大27.36%削減し,交通管理を強化するモデルを示しています.
科学分野:
- 運用研究
- 輸送工学
- 都市計画
背景:
- 交通事故後の都市道路ネットワーク (URN) の回復力には,効率的な救助チーム (RT) の派遣が不可欠です.
- URNの回復力を高めるためのRT配送戦略の最適化に関する研究は限られている.
研究 の 目的:
- 交通事故時のRT配送の最適化のための混合整数線形プログラミングモデルを開発し,検証する.
- 都市道路網の回復力を強化する
主な方法:
- RT発送最適化のための混合整数線形プログラミングモデルの作成.
- 最適な配送スキームを見つけるためにCPLEXソルバーを使用します.
- 仮説的なURNで数値実験を行う.
主要な成果:
- このモデルは,最適のRT配送スキームを生成します.
- 最適化されたスキームは,ベースライン戦略と比較して,目標関数の総値を27.36% (小規模) と16.28% (大規模) 減少させた.
- 感受性分析では,事故の重度と目的地が発送設計に大きく影響していることが示されました.
結論:
- 開発されたモデルは,交通事故に対するRT配送を効果的に最適化し,URNの回復力を高めます.
- モデルの性能に影響を与える主な要因は,配送コスト,許容される遅延,乗客の時間の価値,および車両の速度です.
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