IMPUTATION TECHNIQUES TO ACCOUNT FOR MISSING DATA IN SUPPORT OF INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS

This research addresses the feasibility and applicability of imputing missing traffic data, and performs an analysis on five imputation techniques. The first technique examined in this study is historical average imputation. The next two techniques are new heuristic approaches designed specifically for missing traffic data. Finally, the last two techniques are statistical imputation procedures, which have been developed and implemented in various other fields. These approaches for imputing missing data are implemented and compared in this study.

• Record URL:
  http://cts.virginia.edu/docs/UVACTS-13-0-78.pdf
• 
• Corporate Authors:

  University of Virginia, Charlottesville

  Center for Transportation Studies, P.O. Box 400742
  Charlottesville, VA  United States  22904-4742

  Research and Special Programs Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Nguyen, L N
  • Scherer, W T
• Publication Date: 2003-5

Language

• English

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: 124 p.

Subject/Index Terms

• TRT Terms: Average; Heuristic methods; Intelligent transportation systems; Statistical inference; Traffic data
• Uncontrolled Terms: Imputation techniques; Missing data
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 00979940
• Record Type: Publication
• Report/Paper Numbers: UVACTS-13-0-78,, Final Report
• Files: TRIS, USDOT
• Created Date: Oct 5 2004 12:00AM