Pilot Study on Improving Crash Data Accuracy in Kentucky through University Collaboration

Crash data are essential for conducting safety investigations and recommending changes in roadway geometry. But crash data sometimes suffer from coding errors — especially those related to crash types — which could prompt the decision to make erroneous safety improvements. Other crash data errors include incorrect vehicle directions, injury codes, and crash locations. For this project, three universities (University of Kentucky, University of Louisville, and Western Kentucky University) will collaborate to improve the accuracy of Kentucky crash data and correct miscoded crash data (e.g., crash types, vehicle maneuvers, injury codes). Text mining and machine learning will be used to identify specific keywords in crash report narratives and compare findings with the stored crash data.

    Language

    • English

    Project

    • Status: Active
    • Funding: $217233
    • Contract Numbers:

      SPR 22-630

    • Sponsor Organizations:

      Kentucky Transportation Cabinet

      200 Mero Street
      Frankfort, KY  United States  40622
    • Performing Organizations:

      University of Kentucky, Lexington

      Kentucky Transportation Center College of Engineering, 176 Raymond Building
      Lexington, KY  United States  40506-0281
    • Principal Investigators:

      Green, Eric

    • Start Date: 70120210
    • Expected Completion Date: 63020230
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01781442
    • Record Type: Research project
    • Source Agency: University of Kentucky, Lexington
    • Contract Numbers: SPR 22-630
    • Files: RIP, STATEDOT
    • Created Date: Sep 8 2021 11:04AM