Incorporation of Speed/Travel-time Data Sets in Traffic Performance Analysis

The increase in just-in-time manufacturing processes and complex supply chain networks highlights the value of travel time reliability to businesses, as well as commuters and personal travel. An increasing emphasis on customer-based performance metrics makes network and travel time reliability essential measures for rating transportation agency performance and determining the effectiveness of mitigating roadway congestion and transportation delays. State Departments of Transportation (DOTs) have recently been required to deliver high-quality travel-time data that translates into 90% availability at 85% data accuracy. Such stringent timelines, data availability assurances, and high data accuracy requisites imply that states must implement multi-technology, fault-tolerant systems with redundant components, and that check points must be designed to distinguish between normal and abnormal traffic conditions either due to actual weather/roadway incidents or as a consequence of system sensor failures or actual weather/roadway incidents. This project will develop a Travel Time Reliability Monitoring System (TTRMS) composed of Bluetooth identification devices strategically placed on interstate highways coupled with analytical models and software algorithms designed to evaluate the quality of real-time collected data while improving system responsiveness and reliability.

  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Proposed
  • Sponsor Organizations:

    Oklahoma Department of Transportation

    200 NE 21st Street
    Oklahoma City, OK  United States  73105

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Start Date: 20160101
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01590810
  • Record Type: Research project
  • Source Agency: University of Oklahoma, Norman
  • Files: UTC, RiP
  • Created Date: Feb 22 2016 1:06PM