{"title":"Multi-capacities ambulance location model","authors":"Dah-Ming Shiah, Chin-Tun Hung, Shu-Wen Chen","doi":"10.1109/TRIDENTCOM.2009.4976246","DOIUrl":null,"url":null,"abstract":"Multi-capacities ambulance location model (MCAL) is a different type of capacitated location model compared with ambulance location/relocation model existed. It considers three different types of capacities: traveling distance, address point (population) and EMS incident locations, into one model to solve the set covering of ambulance service area location problem. MCAL is not only a deterministic model but also a probabilistic model by the definition of Brotcorne [1], since we include both types of dataset as the capacity constraints. MCAL modified the procedures from the predecessor AACM Shiah [2, 3] so that the covering procedures can be simpler, more flexible and more efficient. The results of these procedures show that it can work on irregular surface shape or fragments of sets so as to makes it more adaptable to real world.","PeriodicalId":254380,"journal":{"name":"2009 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TRIDENTCOM.2009.4976246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Multi-capacities ambulance location model (MCAL) is a different type of capacitated location model compared with ambulance location/relocation model existed. It considers three different types of capacities: traveling distance, address point (population) and EMS incident locations, into one model to solve the set covering of ambulance service area location problem. MCAL is not only a deterministic model but also a probabilistic model by the definition of Brotcorne [1], since we include both types of dataset as the capacity constraints. MCAL modified the procedures from the predecessor AACM Shiah [2, 3] so that the covering procedures can be simpler, more flexible and more efficient. The results of these procedures show that it can work on irregular surface shape or fragments of sets so as to makes it more adaptable to real world.
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多容量救护车定位模型
多容量救护车定位模型(MCAL)是一种不同于现有救护车定位/搬迁模型的有能力定位模型。该模型考虑了三种不同类型的能力:行驶距离、地址点(人口)和紧急医疗服务事故地点,并将其纳入一个模型来解决救护车服务区选址问题的集合覆盖。根据Brotcorne[1]的定义,MCAL不仅是一个确定性模型,也是一个概率模型,因为我们将两种类型的数据集都作为容量约束。MCAL对其前身AACM Shiah的程序进行了修改[2,3],使覆盖程序更简单、更灵活、更高效。结果表明,该方法可以处理不规则的表面形状或集的碎片,从而使其更适应现实世界。
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Mesh-tree topology for vehicular networks A real-time cellular system architecture to experiment with UMTS/HSDPA in a laboratory On the feasibility of a large scale distributed testbed for measuring quality of path characteristics in the Internet Multi-capacities ambulance location model Collaborative defense as a pervasive service Architectural insights and validation methodologies of a trial deployment
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