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Multi-Objective Routing Optimization for Urban Emergency Rescue Vehicles

机译：城市应急救援车辆多目标路径优化

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When an emergency occurs, it is extremely important for emergency vehicles to be able to reach the scene quickly, accurately, and safely to decide whether it is able to reduce losses caused by disasters. In this research, taking into consideration road capacity decline, urban roads congestion, and other characteristics in a short time under sudden disasters, a connectivity reliability model of road section is built, the rescue travel time model is improved, and the index of road section security is imported to build a multi-objective route optimization model with constraints. Then, a multi-objective optimization algorithm based on deep search and non-dominance order is applied to obtain the solution set of the optimal rescue routes, and the unique optimal solution could be determined by introducing each index weight. Finally, an example is presented to illustrate the effectiveness of the proposed model and the algorithm.
机译：发生紧急情况时，紧急车辆能够快速，准确且安全地决定是否能够减少灾难造成的损失，这对紧急车辆至关重要。本研究结合突发性灾害在短时间内道路通行能力下降，城市道路拥堵等特点，建立了路段连通性可靠性模型，完善了救援出行时间模型，并对路段指标进行了改进。引入安全性以构建具有约束的多目标路由优化模型。然后，应用基于深度搜索和非主导顺序的多目标优化算法，获得最优救援路径的解集，并通过引入各个指标权重来确定唯一的最优解。最后，给出一个例子来说明所提出的模型和算法的有效性。

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