{"title":"Comprehensive Network Arc Characteristic Relative to Public Service System","authors":"Marek Kvet, J. Janáček","doi":"10.1109/CompEng.2018.8536227","DOIUrl":null,"url":null,"abstract":"This paper deals with a way of network analysis aimed at the impact of individual arc travel time elongation on the associated service system performance. To be able to study mentioned impact, we suggest a comprehensive arc characteristic, which consists of the characteristic function and auxiliary series of affected arc sets. Based on this characteristic, the criticality of an arc can be evaluated from the point of given objective. In addition, a secondary criterion is introduced to show the size of workload transferred to other relevant network arcs. We provide a reader with a computational study performed with real road network.","PeriodicalId":194279,"journal":{"name":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CompEng.2018.8536227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper deals with a way of network analysis aimed at the impact of individual arc travel time elongation on the associated service system performance. To be able to study mentioned impact, we suggest a comprehensive arc characteristic, which consists of the characteristic function and auxiliary series of affected arc sets. Based on this characteristic, the criticality of an arc can be evaluated from the point of given objective. In addition, a secondary criterion is introduced to show the size of workload transferred to other relevant network arcs. We provide a reader with a computational study performed with real road network.