{"title":"easy-City: a route search system for public transport users","authors":"Fábio Pereira, J. Barreto","doi":"10.1145/2090316.2090324","DOIUrl":null,"url":null,"abstract":"This paper addresses the hard problem of route searching on public transport transportation. easy-City is a decentralized collaborative system that takes advantage of public transport users' mobility and observations to provide a route searching service. Users' mobile phones and deployed infra-structure devices establish a delay-tolerant network to efficiently disseminate information about routes and other events occurring on the public transportation network. We introduce a novel message dissemination protocol that exploits estimates of each user's future locations to make informed forwarding, message aggregation and buffer management decisions.\n A simulation-based evaluation of easy-city with geographical and public transport data shows that, in a realistic scenario, the system aids users to find best route options even in the presence of unpredictable events. A simulation with 468 nodes shows that easy-City often provides better options than a typical journey planning application based on static knowledge about the transportation network.","PeriodicalId":353614,"journal":{"name":"M-MPAC '11","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"M-MPAC '11","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2090316.2090324","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
This paper addresses the hard problem of route searching on public transport transportation. easy-City is a decentralized collaborative system that takes advantage of public transport users' mobility and observations to provide a route searching service. Users' mobile phones and deployed infra-structure devices establish a delay-tolerant network to efficiently disseminate information about routes and other events occurring on the public transportation network. We introduce a novel message dissemination protocol that exploits estimates of each user's future locations to make informed forwarding, message aggregation and buffer management decisions.
A simulation-based evaluation of easy-city with geographical and public transport data shows that, in a realistic scenario, the system aids users to find best route options even in the presence of unpredictable events. A simulation with 468 nodes shows that easy-City often provides better options than a typical journey planning application based on static knowledge about the transportation network.