{"title":"Unconstraining the Passenger Demand for Rail Yield Management at Trenitalia","authors":"Alessandra Berto, Stefano Gliozzi","doi":"10.1016/j.endm.2018.07.035","DOIUrl":null,"url":null,"abstract":"<div><p>The Yield Management System (YMS) described in this article has been developed by IBM for Trenitalia, main Italian and 3rd European railway undertaking, with 24 Million passengers and more than 260 High Speed Trains (“Frecce”) offered per day on average in 2017 first half, delivering good results in a period of raising competition. The YMS forecasts the unconstrained demand, using an additive method with an emphasis and a multiplicative correction, to account for censored data, allowing a capacity allocation optimization per Origin-Destination (O&D), and fare cluster. The system has been implemented gradually to most trains “Frecce” at Trenitalia, and since 2005 it has forecasted and optimized approximatively 4 Million model instances: nearly 120 Billion train-date-class-O&D-fare decisions.</p></div>","PeriodicalId":35408,"journal":{"name":"Electronic Notes in Discrete Mathematics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.endm.2018.07.035","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Notes in Discrete Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1571065318301793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 4
Abstract
The Yield Management System (YMS) described in this article has been developed by IBM for Trenitalia, main Italian and 3rd European railway undertaking, with 24 Million passengers and more than 260 High Speed Trains (“Frecce”) offered per day on average in 2017 first half, delivering good results in a period of raising competition. The YMS forecasts the unconstrained demand, using an additive method with an emphasis and a multiplicative correction, to account for censored data, allowing a capacity allocation optimization per Origin-Destination (O&D), and fare cluster. The system has been implemented gradually to most trains “Frecce” at Trenitalia, and since 2005 it has forecasted and optimized approximatively 4 Million model instances: nearly 120 Billion train-date-class-O&D-fare decisions.
期刊介绍：
Electronic Notes in Discrete Mathematics is a venue for the rapid electronic publication of the proceedings of conferences, of lecture notes, monographs and other similar material for which quick publication is appropriate. Organizers of conferences whose proceedings appear in Electronic Notes in Discrete Mathematics, and authors of other material appearing as a volume in the series are allowed to make hard copies of the relevant volume for limited distribution. For example, conference proceedings may be distributed to participants at the meeting, and lecture notes can be distributed to those taking a course based on the material in the volume.
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