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Study on Path Selection of Emergency Rescue Based on GIS

机译:基于GIS的应急救援路径选择研究

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In the process of urban disaster emergency rescue, vehicle route optimization has become a key problem of city emergency rescue. In order to improve the emergency rescue responsiveness, a dynamic vehicle routing optimization model is established, which takes dynamic transportation network as the research object and travel time as the goal. At the same time, an improved ant algorithm is used to solve the model, which achieves the desired objectives.
机译:在城市灾害紧急救援过程中,车辆路线优化已成为城市紧急救援的关键问题。为了提高紧急救援响应性,建立了一种动态的车辆路由优化模型,使动态运输网络作为研究对象和旅行时间作为目标。同时,使用改进的蚂蚁算法来解决模型,从而实现所需的目标。

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