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

C. Bartolo, Thiago Matos Pinto
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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.
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。
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