CrowdRoute:一种公共交通网络中的众包路由算法

To Tu Cuong
{"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}
引用次数: 5

摘要

大多数现有算法都假定公共交通网络是静态的。然而,在现实中,公共汽车可能会延迟或取消,这导致路由算法产生非最优行程。我们提出了一种利用人群提供的实时信息的算法CrowdRoute来解决公共交通网络中的最早到达问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multi-day and multi-stay travel planning using geo-tagged photos Extracting scenic routes from VGI data sources On quantifying qualitative geospatial data: a probabilistic approach Automatic gazetteer enrichment with user-geocoded data Web-based enrichment of bike sensor data for automatic geo-annotation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1