SPR-4855: Anomaly Detection in Traffic Patterns Using INDOT Camera System

INDOT cameras at each highway location can provide lane-level traffic flow data from TASI’s previous project. The primary goal for this project is to identify anomalies in traffic data patterns using a trained Neural Network, and store short video recordings of these anomalies as they are detected for review. The Neural Network can be trained using previously obtained week, month, or year traffic flow data and be used to distinguish in-distribution from out-of-distribution by comparing new data to the previous data.


    • English


    • Status: Active
    • Funding: $146453
    • Contract Numbers:


    • Sponsor Organizations:

      Purdue University/Indiana Department of Transportation JHRP

      Purdue University
      1284 Civil Engineering Building, Room 4154
      West Lafayette, IN  United States  47907-1284
    • Principal Investigators:

      Christopher, Lauren

      Chien, Stanley

      Chen, Yaobin

    • Start Date: 20230801
    • Expected Completion Date: 20241130
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01890964
    • Record Type: Research project
    • Source Agency: Indiana Department of Transportation
    • Contract Numbers: SPR-4855
    • Files: RIP, STATEDOT
    • Created Date: Aug 24 2023 3:22PM