Statistical Inference for Multimodal Travel Time Reliability

Travel time reliability is a key metric of interest to practitioners and researchers. There are several metrics available for travel time reliability - buffer index, planning index, probability of travel time being higher than a specific value, etc. Travel time reliability metrics have been defined for transit and automobile, and plays as important as a role as average congestion in affecting travel choices. Most of these metrics have forms such as the ratio of percentile to sample mean, the ratio of percentiles to the median, etc. Traditionally, transportation engineers and planners have used point estimates to compare travel time reliability for various modes. Ready-made procedures to perform statistical inference - confidence intervals and hypothesis tests are not available for these metrics. This project will evaluate and develop methods to determine confidence intervals and hypothesis tests for select travel time reliability parameters. Another complicating factor is the travel time distribution, which is not normal and often asymmetric and varies depending on the location and time. Travel time distributions vary depending on facility type, traffic conditions, signal settings, and composition. The research team will focus on distribution-free confidence intervals and hypothesis test procedures which work for a wide range of shapes of distributions. The team will also study the applicability of existing travel time reliability metrics for class one vehicles (bicycles and motorbikes) and the feasibility of defining an overall travel time reliability of an arterial segment that considers all modes.

Language

  • English

Project

  • Status: Active
  • Funding: $176004
  • Contract Numbers:

    NITC-1403

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    TREC at Portland State University

    1900 SW Fourth Ave, Suite 175
    P.O. Box 751
    Portland, Oregon  United States  97201
  • Performing Organizations:

    Portland State University

    Department of Civil and Environmental Engineering
    Engineering Bldg, 301D, 1930 SW 4th Ave.
    Portland, OR  United States  97201
  • Principal Investigators:

    Unnikrishnan, Avinash

    Figliozzi, Miguel

    Kochar, Subhash

  • Start Date: 20200801
  • Expected Completion Date: 20211231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01746864
  • Record Type: Research project
  • Source Agency: National Institute for Transportation and Communities
  • Contract Numbers: NITC-1403
  • Files: UTC, RiP
  • Created Date: Jul 28 2020 4:06PM