{"title":"Hierarchical railway traffic model for information systems","authors":"G. Daian, M. M. Santa, T. Letia","doi":"10.1109/AQTR.2014.6857881","DOIUrl":null,"url":null,"abstract":"The European Commission adopted a roadmap for the next decade to build a competitive transport system that will increase mobility, remove major barriers in key areas and fuel growth and employment. Passenger Information system is a component of rail system that can grow the quality of services on railway market. One of the major problems of these systems are the prediction of arriving train time to intermediary or final station. This paper proposes a solution for railway network modeled with a development of UML components. The component behavior is modeled by Delay Time Petri Net (DTPN). These models detail the railway network into stations and further represent the resources and the time spent on each resource to calculate the remaining travel duration. Every delay in railway network involves an update of the planned routes with new arrival time estimation.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AQTR.2014.6857881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The European Commission adopted a roadmap for the next decade to build a competitive transport system that will increase mobility, remove major barriers in key areas and fuel growth and employment. Passenger Information system is a component of rail system that can grow the quality of services on railway market. One of the major problems of these systems are the prediction of arriving train time to intermediary or final station. This paper proposes a solution for railway network modeled with a development of UML components. The component behavior is modeled by Delay Time Petri Net (DTPN). These models detail the railway network into stations and further represent the resources and the time spent on each resource to calculate the remaining travel duration. Every delay in railway network involves an update of the planned routes with new arrival time estimation.