{"title":"CrowdRoute: a crowd-sourced routing algorithm in public transit networks","authors":"To Tu Cuong","doi":"10.1145/2534732.2534738","DOIUrl":null,"url":null,"abstract":"Most existing algorithms assume that public transit networks are static. However in reality, a bus may be delayed or canceled, which causes routing algorithms to generate non-optimal journeys. We propose CrowdRoute, an algorithm that exploits real-time information contributed by the crowd, to solve the earliest arrival problem in public transit networks.","PeriodicalId":314116,"journal":{"name":"GEOCROWD '13","volume":"72 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GEOCROWD '13","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2534732.2534738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Most existing algorithms assume that public transit networks are static. However in reality, a bus may be delayed or canceled, which causes routing algorithms to generate non-optimal journeys. We propose CrowdRoute, an algorithm that exploits real-time information contributed by the crowd, to solve the earliest arrival problem in public transit networks.
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