{"title":"在故障情况下管理铁路系统的模型框架的定义","authors":"L. D’Acierno, M. Gallo, B. Montella, A. Placido","doi":"10.1109/ITSC.2013.6728372","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an off-line procedure for determining the optimal operational strategy in the case of rail and/or metro system failure. The procedure is based on a micro-simulation approach for estimating effects of each feasible intervention strategy on travel demand. Numerical results in the case of a real-size metro network show that optimal solutions could differ according to travel demand levels and/or breakdown severities.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"The definition of a model framework for managing rail systems in the case of breakdowns\",\"authors\":\"L. D’Acierno, M. Gallo, B. Montella, A. Placido\",\"doi\":\"10.1109/ITSC.2013.6728372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an off-line procedure for determining the optimal operational strategy in the case of rail and/or metro system failure. The procedure is based on a micro-simulation approach for estimating effects of each feasible intervention strategy on travel demand. Numerical results in the case of a real-size metro network show that optimal solutions could differ according to travel demand levels and/or breakdown severities.\",\"PeriodicalId\":275768,\"journal\":{\"name\":\"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2013.6728372\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2013.6728372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The definition of a model framework for managing rail systems in the case of breakdowns
In this paper, we propose an off-line procedure for determining the optimal operational strategy in the case of rail and/or metro system failure. The procedure is based on a micro-simulation approach for estimating effects of each feasible intervention strategy on travel demand. Numerical results in the case of a real-size metro network show that optimal solutions could differ according to travel demand levels and/or breakdown severities.