Freeway Travel Time Estimation using Existing Fixed Traffic Sensors - A Computer-Vision-Based Vehicle Matching Approach

Travel time information is of interest to both road users and road network operators. The direct travel time estimation method such as probe vehicles has high accuracy but it requires a high probe rate to collect the complete travel time information of a road network, which is too costly for the daily operation of a road network. The indirect method by point sensors assumes stable speed within a roadway segment and it has low accuracy when the traffic becomes congested. The project explores a fundamental advancement in the theoretical and practical research related to travel time estimation in a freeway network by matching vehicles in a network of traffic surveillance cameras. The accurately computed travel time will sustain the transportation system in a manner that is more effective, more efficient, and more economic competitive.


    • English


    • Status: Completed
    • Funding: $38681.00
    • Contract Numbers:


    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Performing Organizations:

      Missouri University of Science & Technology, Rolla

      Department of Engineering
      202 University Center
      Rolla, MO    65409
    • Principal Investigators:

      Wu, Yao-Jan

      Yin, Zhaozheng

    • Start Date: 20130701
    • Expected Completion Date: 0
    • Actual Completion Date: 20141231
    • Source Data: RiP Project 34786

    Subject/Index Terms

    Filing Info

    • Accession Number: 01487948
    • Record Type: Research project
    • Source Agency: Mid-America Transportation Center
    • Contract Numbers: DTRT12-G-UTC07
    • Files: UTC, RIP
    • Created Date: Jul 24 2013 1:01AM