{"title":"中断期间的城市铁路运营恢复","authors":"A. Jamili, Mohammadreza Ghoreshi Nejad","doi":"10.1109/ITSC.2015.454","DOIUrl":null,"url":null,"abstract":"In urban railway operation, many different types of problems and malfunctions may cause disruptions during operation. This paper addresses two recovery modes during disruptions in urban railway operation. In order to compare these modes, two criteria including (1) total travel time of passengers during degraded mode, and (2) the number of non-serviced passengers, are determined. In order to compute the number of non-serviced passengers, some new formulas are proposed. At the end, the necessary remarks are suggested for urban railway operators to simply decide each of these recovery modes, as well as the scheduling patterns based on the disruption conditions. The results are tested and analyzed considering a real case study.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Urban Railway Operation Recovery During Disruption\",\"authors\":\"A. Jamili, Mohammadreza Ghoreshi Nejad\",\"doi\":\"10.1109/ITSC.2015.454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In urban railway operation, many different types of problems and malfunctions may cause disruptions during operation. This paper addresses two recovery modes during disruptions in urban railway operation. In order to compare these modes, two criteria including (1) total travel time of passengers during degraded mode, and (2) the number of non-serviced passengers, are determined. In order to compute the number of non-serviced passengers, some new formulas are proposed. At the end, the necessary remarks are suggested for urban railway operators to simply decide each of these recovery modes, as well as the scheduling patterns based on the disruption conditions. The results are tested and analyzed considering a real case study.\",\"PeriodicalId\":124818,\"journal\":{\"name\":\"2015 IEEE 18th International Conference on Intelligent Transportation Systems\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 18th International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2015.454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2015.454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Urban Railway Operation Recovery During Disruption
In urban railway operation, many different types of problems and malfunctions may cause disruptions during operation. This paper addresses two recovery modes during disruptions in urban railway operation. In order to compare these modes, two criteria including (1) total travel time of passengers during degraded mode, and (2) the number of non-serviced passengers, are determined. In order to compute the number of non-serviced passengers, some new formulas are proposed. At the end, the necessary remarks are suggested for urban railway operators to simply decide each of these recovery modes, as well as the scheduling patterns based on the disruption conditions. The results are tested and analyzed considering a real case study.
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