SPR-4305: Development of Automated Incident Detection System Using Existing ATMS CCTV

The main objective of this research is to develop an automated incident detection system using existing ATMS CCTV data. The proposed system will perform: (1) traffic flow estimation, (2) vehicle type recognition, and (3) incident detection (big speed change of a set of vehicles to other set of vehicles) based on the INDOT CCTV video feeds. The deliverables by the end of this project are: (1) a database that will be built to store the incident data, and (2) a user-friendly map-based interface to provide the incident locations automatically.

    Project

    • Status: Active
    • Funding: $108426
    • Contract Numbers:

      SPR-4305

    • 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:

      Chen, Yaobin

    • Start Date: 20180701
    • Expected Completion Date: 20190831
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01677447
    • Record Type: Research project
    • Source Agency: Indiana Department of Transportation
    • Contract Numbers: SPR-4305
    • Files: RiP, STATEDOT
    • Created Date: Aug 6 2018 2:54PM