Travel Time Modeling with Taxi GPS and Household Survey Data

Transportation planning agencies all over the world usually maintain travel time matrices (or network skims) for a small number of time windows. In order to predict travelers' response to congestion mitigation strategies, it becomes essential to develop time of day choice models that require travel time estimates at a finer time resolution. In this paper, the authors develop regression models to relate travel times collected from taxi global positioning system (GPS) data to the network travel times and compare the results to a similar model estimated with household travel survey data. The rationale behind this procedure is to develop a formula that allows the calculation of travel time for any origin-destination pair and for any time of the day, given the network travel times for three time periods (AM peak, PM peak, and off-peak). The two data sources, survey and GPS data, are compared based on descriptive statistics and by plotting the variation of the predicted speed by time of day. Statistical tests are performed to investigate whether the two data sources can be pooled together. The test results indicate that though there are significant differences in the estimated coefficients which do not vary across time of day (for example, coefficients of distance, and central business district indicators), the two data sources exhibit comparable profiles of time of day variation in speed up to a certain scale.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Li, Siyu
    • Enam, Annesha
    • Abou-Zeid, Maya
    • Ben-Akiva, Moshe
  • Conference:
  • Date: 2013

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 92nd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01478180
  • Record Type: Publication
  • Report/Paper Numbers: 13-3297
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 5 2013 12:40PM