| 摘 要: 道路中断、可靠性差等路径选择问题从根本上影响了救援工作的效率，针对这一现状，设计了基于MATLAB的应急救援车辆最优路径模型。依托城市交通路网的数据，通过层次分析法确定影响应急救援的因素，利用MATLAB蚁群算法结合ArcGIS平台构建城市路网要素，定位应急设施及求解应急救援车辆路径优化结果。通过实例分析改变要素信息时，救援路径结果与效率的差别，客观评估城市应急救援能力，为城市交通救援车辆的路径优化提供可行性助力。 |
| 关键词: 应急救援；蚁群算法；MATLAB；AHP |
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中图分类号: TP274
文献标识码: A
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| 基金项目: 河北省社会发展研究课题(20210201398)；邯郸市科技研发项目(19422304001-21)；邯郸学院校级项目(2018106). |
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| Research on Route Optimization of Rescue Vehicles in Urban Traffic Networking |
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YAN Junxia1, WANG Shuangyou2, ZHANG Ming1, ZHANG Jianfeng1
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( 1.Department of Geography, Handan College, Handan 056005, China;
2.School of Software, Handan College, Handan 056005, China)
yanyantougaogao@126.com; wsyhdc@163.com; 157186236@qq.com; zjfdlx@163.com
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| Abstract: Road interruptions, poor reliability and other route selection problems fundamentally affect rescue work efficiency. Aiming at these problems, this paper proposes to design an optimal route model for emergency rescue vehicles with MATLAB (Matrix & Laboratory), based on data from urban traffic road network. Hierarchical analysis method is used to determine the factors affecting emergency rescue. MATLAB ant colony algorithm and ArcGIS platform are used to construct urban road network elements, emergency facility positioning and solving emergency rescue vehicle route optimization results. Through real case analysis, the proposed model can analyzes rescue route results and efficiency differences when changing the element information, objectively evaluate urban emergency rescue capacity, which provides feasibility for the route optimization of urban traffic rescue vehicle. |
| Keywords: emergency rescue; ant colony optimization algorithms; MATLAB; AHP |
