Stoppage pattern analysis of public bus GPS traces in developing regions

Ratna Mandal, Nitin Agarwal, S. Nandi, Projan Das, Aniket Anvit, Sunandini Sanyal, Sujoy Saha
{"title":"Stoppage pattern analysis of public bus GPS traces in developing regions","authors":"Ratna Mandal, Nitin Agarwal, S. Nandi, Projan Das, Aniket Anvit, Sunandini Sanyal, Sujoy Saha","doi":"10.1109/PERCOMW.2015.7134046","DOIUrl":null,"url":null,"abstract":"Identification of Public Bus Stops and characterising their waiting time is of significance in the domain of Intelligent Transportation System and public interest. Surveys suggest that the existing systems and algorithms cannot be merely replicated in the context of developing regions, because of the kind of heterogeneity and chaotic situation prevalent in their transport system, in contrast to the orderly and much regulated system of the developed world. Moreover a significant fraction of population residing here is not so tech-savvy, hence crowd-sourced based strategies renders useless. Either novel algorithms/techniques are required or the existing ones have to undergo suitable adaptation and innovation to suit the contrasting characteristics of developing regions. Using customized hardware we present the stoppage pattern analysis of public bus GPS traces of more than 2000 km for a 20 km route of Durgapur, a suburban city (West Bengal, India). We have revealed that 53.03 % of the travel time for the selected route has higher predictability with Standard deviation of 30.73%.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2015.7134046","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

Identification of Public Bus Stops and characterising their waiting time is of significance in the domain of Intelligent Transportation System and public interest. Surveys suggest that the existing systems and algorithms cannot be merely replicated in the context of developing regions, because of the kind of heterogeneity and chaotic situation prevalent in their transport system, in contrast to the orderly and much regulated system of the developed world. Moreover a significant fraction of population residing here is not so tech-savvy, hence crowd-sourced based strategies renders useless. Either novel algorithms/techniques are required or the existing ones have to undergo suitable adaptation and innovation to suit the contrasting characteristics of developing regions. Using customized hardware we present the stoppage pattern analysis of public bus GPS traces of more than 2000 km for a 20 km route of Durgapur, a suburban city (West Bengal, India). We have revealed that 53.03 % of the travel time for the selected route has higher predictability with Standard deviation of 30.73%.
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
欠发达地区公交GPS轨迹停车模式分析
公交站点的识别和候车时间的表征在智能交通系统和公共利益领域具有重要意义。调查表明,现有的系统和算法不能仅仅在发展中区域复制,因为发展中区域的运输系统普遍存在着异质性和混乱局面,而发达世界的运输系统则有秩序和受到严格管制。此外,居住在这里的很大一部分人口并不精通技术,因此基于众包的策略是无用的。要么需要新的算法/技术,要么需要对现有的算法/技术进行适当的调整和创新,以适应发展中地区的鲜明特征。使用定制的硬件,我们对杜尔加普尔(印度西孟加拉邦)郊区城市20公里路线上超过2000公里的公共汽车GPS轨迹进行了停车模式分析。结果表明,所选路线53.03%的行程时间具有较高的可预测性,标准差为30.73%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A sensing coverage analysis of a route control method for vehicular crowd sensing Next place prediction by understanding mobility patterns AgriAcT: Agricultural Activity Training using multimedia and wearable sensing A concept for a C2X-based crossroad assistant RuPS: Rural participatory sensing with rewarding mechanisms for crop monitoring
×
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