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Application of OpenStreetMap Data in Ambulance Location Problem

机译:OpenStreetMap数据在救护车定位问题中的应用

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摘要

Locating a group of ambulances to get optimum coverage can ensure the efficiency of emergency medical services (EMS) delivery. Maximal covering location problem (MCLP) is a static location model which has been proven as a cost-effective tool in the development of EMS system. Meanwhile, OpenStreetMap (OSM) has gained popularity among the researchers because of its open-source status. Due to the lack of study of its application in EMS, its presence is not much recognized and valued as it should be. In this paper, we present our solution of MCLP to locate a number of ambulances to maximize the coverage of local demands by using OSM geodata. We also discuss on the technique to integrate the local population data within the map. The results show that the ambulance location problem can be solved successfully by using OSM geodata.
机译:找到一组救护车以获得最佳覆盖范围可以确保提供紧急医疗服务(EMS)的效率。最大覆盖位置问题(MCLP)是静态位置模型,已被证明是EMS系统开发中的一种经济高效的工具。同时,OpenStreetMap(OSM)由于其开源状态而在研究人员中广受欢迎。由于缺乏对其在EMS中的应用的研究,因此它的存在并没有得到应有的认可和重视。在本文中,我们介绍了我们的MCLP解决方案,该解决方案使用OSM地理数据来定位许多救护车,以最大程度地满足当地需求。我们还将讨论在地图中整合本地人口数据的技术。结果表明,使用OSM地理数据可以成功解决救护车的位置问题。

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