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Agent Based Modeling for Flood Inundation Mapping and Rerouting

机译:基于代理的洪水淹没映射和重新路由建模

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摘要

Natural disasters like earthquakes and floods can have a serious impact on road networks, which are critical to supply chain infrastructure and to provide connectivity. These extreme events can result in isolating people in the affected area from hospitals and emergency response. This paper presents an agent-based model for understanding flood propagation and developing inundation mapping. The results from the mapping are used to identify the roads prone to floods based on elevation data and flood simulation. A simulation environment was set up in SUMO, and the costs associated with the traffic disruption are evaluated. This paper discusses the integration of various techniques for a comprehensive flood prediction and rerouting system.
机译:像地震和洪水等自然灾害可能对道路网络产生严重影响,这对供应链基础设施并提供连接至关重要。这些极端事件可能导致将受影响区域的人们隔离在医院和应急响应中。本文介绍了一种基于代理的模型,用于了解洪泛传播和开发淹没映射。映射的结果用于根据高程数据和洪水仿真识别易于洪水的道路。 Sumo设置了模拟环境,评估与流量中断相关的成本。本文讨论了综合洪水预测和重新排出系统的各种技术的整合。

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