A Trip Reconstruction Tool for GPS-based Personal Travel Surveys

This article describes a trip reconstruction software tool developed for use in global positioning system (GPS)-based personal travel surveys. The tool enables the automatic processing of GPS traces of individual survey respondents and identifies the road links traveled and modes used by all respondents for individual trips. These links are identified based on a conventional geographic information system (GIS)-based map-matching algorithm. Identifying the modes is a rule-based algorithm using attributes of four modes (pedestrian, bicycle, bus, and passenger-car). The trip reconstruction tool was evaluated using GPS travel data collected for the study and a multi-modal transportation network model of downtown Toronto. Results indicate that the tool correctly detected about 79% of all links traveled and 92% of all trip modes.

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  • Authors:
    • Chung, Eui-Hwan
    • Shalaby, Amer
  • Publication Date: 2005-10


  • English

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Filing Info

  • Accession Number: 01007068
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Nov 8 2005 1:24PM