A Vision-based Traffic Monitoring System for Vehicle Detection and Vehicle Classification

The objective if this research study is to explore and develop a stand-alone vision-based traffic monitoring software prototype with graphic user interfaces that can count vehicles (detection) and characterize the type of vehicle on roadways (classification). A robust set of methodologies and algorithms for traffic monitoring will be identified to operate effectively under a variety of conditions. The system will be validated using video feeds collected by Connecticut Department of Transporation (CTDOT) with observed traffic characteristics and demonstrate the system for Connecticut application using a case study.

Language

• English

Project

• Status: Active
• Funding: $50598.00
• Contract Numbers:

  JH 15-01

• Sponsor Organizations:

  Connecticut Department of Transportation

  2800 Berlin Turnpike
  Newington, CT  United States  06131
• Project Managers:

  Kissane, Colleen

• Performing Organizations:

  University of Connecticut, Storrs

  Connecticut Transportation Institute
  270 Middle Turnpike, Unit 5202
  Storrs, CT  United States  06269-5202
• Principal Investigators:

  Konduri, Karthik

  Jackson, Eric

• Start Date: 20140823
• Expected Completion Date: 20191231
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Graphical user interfaces; Traffic characteristics; Traffic counts; Traffic surveillance; Vehicle classification; Vehicle detectors
• Geographic Terms: Connecticut
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01604808
• Record Type: Research project
• Source Agency: Connecticut Department of Transportation
• Contract Numbers: JH 15-01
• Files: RIP, STATEDOT
• Created Date: Jul 19 2016 11:26AM