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.

Language

• English

Project

• Status: Completed
• 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

• TRT Terms: Advanced traffic management systems; Closed circuit television; Databases; Incident detection; Mapping; Traffic flow; Vehicle detectors
• Geographic Terms: Indiana
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

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 2:57PM