最短路线规划和动态救援部队在城市洪水灾难中进行调度
Jun Liang1, Mingyu Liu2, Zongjia Zhang3,4,5
1Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China.
Scientific reports
|July 2, 2025
概括
本研究介绍了一种两阶段模型,以优化城市洪水救援行动. 它通过将救援车辆的最短路径规划与动态派遣部队到洪水现场,加强了应急响应.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 应急管理 应急管理
背景情况:
- 由于气候变化和极端天气,城市洪水正在增加.
- 洪水威胁到公共安全,基础设施和经济发展.
研究的目的:
- 介绍城市洪水期间最短路线规划和动态派遣救援部队的两阶段模型.
- 通过将路线规划与救援部队分配相结合,优化应急响应.
主要方法:
- 开发了一种路径选择模型,使用定制的A*算法来计算最差的行程时间.
- 引入了基于偏好的A*算法,包括驾驶员偏好.
- 使用人口密度和实时洪水数据创建了一个双目标动态调度模型.
主要成果:
- 该模型确定了救援车辆的最佳路径,考虑到最坏的情况下的行程时间.
- 动态调度根据实时需求和洪水条件分配救援部队.
- 综合路线规划和调度提高了应急响应的效率.
结论:
- 拟议的两阶段模式为有效的城市洪水应对行动提供了必要的支持.
- 优化路径规划和动态力量分配对于减轻洪水影响至关重要.
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