期刊
TRANSPORTATION PLANNING AND TECHNOLOGY
卷 28, 期 5, 页码 381-401出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/03081060500322599
关键词
GPS; GIS; personal travel surveys; Toronto
This article reports on the development of a trip reconstruction software tool for use in GPS-based personal travel surveys. Specifically, the tool enables the automatic processing of GPS traces of individual survey respondents in order to identify the road links traveled and modes used by each respondent for individual trips. Identifying the links is based on a conventional GIS-based map-matching algorithm and identifying the modes is a rule-based algorithm using attributes of four modes (walk, bicycle, bus and passenger-car). The tool was evaluated using GPS travel data collected for the study and a multi-modal transportation network model of downtown Toronto. The results show that the tool correctly detected about 79% of all links traveled and 92% of all trip modes.
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