Analysing Traffic Flow and Traffic Hotspots from Historic and Real-Time GPS Data

C. Bartolo, Thiago Matos Pinto
{"title":"Analysing Traffic Flow and Traffic Hotspots from Historic and Real-Time GPS Data","authors":"C. Bartolo, Thiago Matos Pinto","doi":"10.17265/1548-7709/2015.06.006","DOIUrl":null,"url":null,"abstract":"Traffic congestion is an increasing issue in many road networks. Considering the Maltese Islands, the traffic situation is in bad condition, despite the different attempts by the government to find a solution for this problem. In this report, we investigate how traffic may be analysed, which methods are available for this analysis, and how the traffic flow can be depicted. Many methods for this analysis are presented with a customized method attempted for finding traffic congestions and checking the traffic flow around the towns. The solution implemented in this work enables users to provide data through a data collecting Android app, which displays traffic flow on an interactive map, while allowing the users to view the traffic flow on a web-based interactive map at their chosen town, date and time. The method works by analysing GPS data from vehicles attained from different methods of data collection, namely data collection from Android devices, and historic GPS data from tracking devices installed in commercial fleets. The results of this work demonstrate a method for analysing traffic flow with accurate results, a usable and easy method of depicting traffic, with positive user feedback.","PeriodicalId":69156,"journal":{"name":"通讯和计算机:中英文版","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"通讯和计算机:中英文版","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.17265/1548-7709/2015.06.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Traffic congestion is an increasing issue in many road networks. Considering the Maltese Islands, the traffic situation is in bad condition, despite the different attempts by the government to find a solution for this problem. In this report, we investigate how traffic may be analysed, which methods are available for this analysis, and how the traffic flow can be depicted. Many methods for this analysis are presented with a customized method attempted for finding traffic congestions and checking the traffic flow around the towns. The solution implemented in this work enables users to provide data through a data collecting Android app, which displays traffic flow on an interactive map, while allowing the users to view the traffic flow on a web-based interactive map at their chosen town, date and time. The method works by analysing GPS data from vehicles attained from different methods of data collection, namely data collection from Android devices, and historic GPS data from tracking devices installed in commercial fleets. The results of this work demonstrate a method for analysing traffic flow with accurate results, a usable and easy method of depicting traffic, with positive user feedback.
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
从历史和实时GPS数据分析交通流量和交通热点
交通拥堵是许多道路网络中日益严重的问题。考虑到马耳他群岛,交通状况很糟糕,尽管政府尝试了不同的方法来解决这个问题。在本报告中,我们研究了如何分析交通,哪些方法可用于此分析,以及如何描述交通流。提出了许多分析方法,其中包括一种定制的方法,试图发现交通拥堵并检查城镇周围的交通流量。在这项工作中实施的解决方案使用户能够通过数据收集Android应用程序提供数据,该应用程序在交互式地图上显示交通流量,同时允许用户在基于网络的交互式地图上查看他们选择的城镇,日期和时间的交通流量。该方法通过分析从不同数据收集方法获得的车辆的GPS数据,即从Android设备收集的数据,以及从商业车队安装的跟踪设备收集的历史GPS数据。这项工作的结果展示了一种分析交通流量的方法,具有准确的结果,一种可用和简单的描述交通的方法,具有积极的用户反馈。
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
843
期刊最新文献
A Learning Management System as an Assessment Tool: A Case of MUELE Interpretation of Information Security and Data Privacy Protection According to the Data Use During the Epidemic Propagation Path Loss Models at 28 GHz Using K-Nearest Neighbor Algorithm The Method on Deducing MultiplicityMeasurement Equations of Neutron/g Medical Image Application by Hybrid Transform Coding Scheme
×
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