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Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information

机译：全球定位系统追踪八十周：丰富旅行信息的方法

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摘要

The recent Swedish Intelligent Speed Adaptation (ISA) study included a component that involved the installation of units based on the Global Positioning System (GPS) in hundreds of cars in three Swedish cities, Borlaenge, Lund, and Lidkoeping; these vehicles were observed for up to 2 years. In Borlaenge, the speed and location data of each vehicle were transmitted at regular intervals to a central server and stored for later analysis. This data set contains a wealth of travel behavior information that had not been available before. However, a data set of this magnitude introduces a major need for automated processes that can glean travel behavior details from the trip summary and collected GPS point files. A summary is presented of characteristics of and issues with the Borlaenge GPS data set, which included 186 personal vehicles with at least 30 days of travel data and corresponding household sociodemographic data. (These 186 vehicles recorded 49,667 vehicle days of travel and 240,435 trips inside the study area.) Then, automated methodologies are presented for imputing trip purpose for these trips once the trip destinations are identified, as well as for correcting the GPS traces and identifying missing trip ends within these trips. Results of these automated processes for a subset of the ISA study vehicles are included.
机译：最近的瑞典智能速度适应（ISA）研究包括一个组件，该组件涉及在三个瑞典城市Borlaenge，隆德和Lidkoeping的数百辆汽车中安装基于全球定位系统（GPS）的单元；观察这些车辆长达2年。在Borlaenge，每辆车的速度和位置数据均定期发送到中央服务器，并存储起来以供以后分析。该数据集包含大量以前没有的旅行行为信息。但是，如此庞大的数据集引起了对自动化过程的巨大需求，这些过程可以从旅行摘要和收集到的GPS点文件中收集旅行行为的详细信息。摘要介绍了Borlaenge GPS数据集的特征和存在的问题，该数据集包括186辆私人车辆，具有至少30天的旅行数据和相应的家庭社会人口统计学数据。 （这186辆汽车记录了研究区域内49,667辆汽车的行驶天数和240,435次旅行。）然后，一旦确定了旅行目的地，并提出了自动方法来估算这些旅行的旅行目的，以及纠正GPS轨迹并确定丢失的原因行程在这些行程中结束。这些自动化过程的结果包括一部分ISA研究工具。

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