TMC Traffic Data Automation For Mn/DOT's Traffic Monitoring Program

The Minnesota Department of Transportation (Mn/DOT) has been responsible for collecting, analyzing and publishing traffic counts from the various roadway systems throughout the state. The traffic reporting system mainly developed by the Traffic Forecasting and Analysis Section (TFAS) of Mn/DOT has been used in several federal programs, internal Mn/DOT applications and many private sectors. The objective of this project was to continue the TFAS automation efforts by automating the Traffic Managment Center (TMC) portion of traffic data (intelligent transportation system (ITS) generated data) contributed to the Mn/DOT's Traffic Monitoring System. The focus was given to develop an Internet-based system that produces computerized reports on continuous and short-duration count data. One of the challenges of utilizing ITS generated traffic data for computing continuous and short-duration count was in dealing with missing and incorrect data produced by faulty conditions of traffic data collection systems including detectors and communication links. This study found that data imputation techniques based on spatial and temporal inferences of traffic flow can overcome the difficulties and produce accurate statistical data. This report describes the details on actual implementation of the algorithms developed, analysis utilities and practical system integration examples. One unresolved issue in this project was dealing with the stations in which nearly no data is available for the entire year, which was observed from 2-3% of the short-duration count stations. This problem is left for future work.

  • Record URL:
  • Corporate Authors:

    University of Minnesota, Duluth

    Northland Advanced Transportation Systems Research Laboratory
    1303 Ordean Court
    Duluth, MN  United States  55812-3025

    Minnesota Department of Transportation

    Office of Research Services, 395 John Ireland Boulevard
    St Paul, MN  United States  55155
  • Authors:
    • Kwon, Taek Mu
  • Publication Date: 2004-7


  • English

Media Info

  • Media Type: Web
  • Edition: Final Report
  • Features: Appendices; Figures; References;
  • Pagination: 71p

Subject/Index Terms

Filing Info

  • Accession Number: 01013335
  • Record Type: Publication
  • Report/Paper Numbers: MN/RC-2004-29
  • Created Date: Dec 10 2005 10:32PM