David La Barbera, Kevin Roitero, Stefano Mizzaro, V. D. Mea, F. Valent
{"title":"一种优化救护车位置和响应时间的软件模拟器:初步报告","authors":"David La Barbera, Kevin Roitero, Stefano Mizzaro, V. D. Mea, F. Valent","doi":"10.1109/icdh52753.2021.00037","DOIUrl":null,"url":null,"abstract":"In the framework of the EASY-NET project we are working on tools to support the redesign of the Emergency Medical Service network. Based on the historical data, we built a Discrete Event Simulation system that employs predictive analysis to simulate the location of emergency events, which will allow to experiment with different ambulance dispatching rules and will be used to determine the location and the number of EMS vehicles to be employed to ensure fast response times at minimum cost.","PeriodicalId":93401,"journal":{"name":"2021 IEEE International Conference on Digital Health (ICDH)","volume":"1 1","pages":"209-211"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report\",\"authors\":\"David La Barbera, Kevin Roitero, Stefano Mizzaro, V. D. Mea, F. Valent\",\"doi\":\"10.1109/icdh52753.2021.00037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the framework of the EASY-NET project we are working on tools to support the redesign of the Emergency Medical Service network. Based on the historical data, we built a Discrete Event Simulation system that employs predictive analysis to simulate the location of emergency events, which will allow to experiment with different ambulance dispatching rules and will be used to determine the location and the number of EMS vehicles to be employed to ensure fast response times at minimum cost.\",\"PeriodicalId\":93401,\"journal\":{\"name\":\"2021 IEEE International Conference on Digital Health (ICDH)\",\"volume\":\"1 1\",\"pages\":\"209-211\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Digital Health (ICDH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icdh52753.2021.00037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Digital Health (ICDH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icdh52753.2021.00037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report
In the framework of the EASY-NET project we are working on tools to support the redesign of the Emergency Medical Service network. Based on the historical data, we built a Discrete Event Simulation system that employs predictive analysis to simulate the location of emergency events, which will allow to experiment with different ambulance dispatching rules and will be used to determine the location and the number of EMS vehicles to be employed to ensure fast response times at minimum cost.