{"title":"CrowdRoute:一种公共交通网络中的众包路由算法","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":"{\"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}","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}
CrowdRoute: a crowd-sourced routing algorithm in public transit networks
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.