Malte Schmidt, N. Weik, Stephan Zieger, A. Schmeink, Nils Nießen
{"title":"A Generalized Stochastic Petri Net Model for Performance Analysis of Trackside Infrastructure in Railway Station Areas under Uncertainty *","authors":"Malte Schmidt, N. Weik, Stephan Zieger, A. Schmeink, Nils Nießen","doi":"10.1109/ITSC.2019.8917459","DOIUrl":null,"url":null,"abstract":"The paper presents a stochastic, infrastructure centered modeling approach for capacity analysis applications in long term planning of railway stations. A formal modeling approach of train operations using generalized stochastic Petri nets is proposed. The model is analyzed based on the embedded Markov chain, which allows for quality based performance metrics including utilization, blocking probabilities and waiting times. The model is validated and tested against simulation in an application scenario for a medium size railway station. In addition, model extensions to large-scale systems are discussed.","PeriodicalId":6717,"journal":{"name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","volume":"32 1","pages":"3732-3737"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2019.8917459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper presents a stochastic, infrastructure centered modeling approach for capacity analysis applications in long term planning of railway stations. A formal modeling approach of train operations using generalized stochastic Petri nets is proposed. The model is analyzed based on the embedded Markov chain, which allows for quality based performance metrics including utilization, blocking probabilities and waiting times. The model is validated and tested against simulation in an application scenario for a medium size railway station. In addition, model extensions to large-scale systems are discussed.
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