Active Traffic Monitoring through Camera Networks with Automatic Camera Calibration for Pan - Tilt - Zoom Cameras

Description: We propose a network of distributed pan-tilt-zoom (PTZ) cameras acting as active vehicle sensors that will map the location of vehicles throughout a network in real time. Precise mapping of vehicles combined with vehicle-to camera communication will allow one to one correspondence where by the active camera will be able to connect with a vehicle and monitor its movement throughout a camera network. Once the connection is established, camera hand-off will be possible allowing a vehicle to be tracked over several miles. The individual vehicle map-ping approach will take advantage of existing PTZ infrastructure while providing a robust set of traffic parameters for use by a variety of applications including real-time traffic prediction, erratic maneuver/ dangerous driver identification, incident management, transportation network security, as well as the potential to provide new insights into driver behavior. With one to one correspondence between cameras and connected vehicles, system feedback can be catered to individual vehicles. This feedback will be based on tracked trajectories rather than from discrete points. Intellectual Merit: The investigators propose to research and develop an active computer vision based traffic monitoring system that has the potential to lead to a shift in the paradigm of collecting traffic data in the near-term while supporting connected vehicle applications in the long-term. Broader Impacts: The ability to identify and track vehicles throughout a network of cameras will take incident detection to a new level while increasing the robustness of data being collected. Vehicles will be able to be tracked for longer distances across distributed cameras, which will allow new possibilities in traffic monitoring, management, and prediction.

• Record URL:
  cecas.clemson.edu/C2M2/current-research/

Project

• Status: Active
• Funding: $75279
• Contract Numbers:

  69A3551747117

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Center for Connected Multimodal Mobility

  Clemson University
  Clemson, SC  United States  29634

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911

  The Citadel

  Department of Civil and Environmental Engineering
  171 Moultrie Street
  Charleston, SC  United States  29409
• Managing Organizations:

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911
• Project Managers:

  Sarasua, Wayne

• Performing Organizations:

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911

  The Citadel

  Department of Civil and Environmental Engineering
  171 Moultrie Street
  Charleston, SC  United States  29409
• Principal Investigators:

  Sarasua, Wayne

  Brown, Kweku

  Davis, William

  Michalaka, Dimitra

• Start Date: 20171001
• Expected Completion Date: 20190430
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Cameras; Connected vehicles; Networks; Traffic analysis zones; Vehicle marking
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Safety and Human Factors; TRAFFIC CONTROL;

Filing Info

• Accession Number: 01689031
• Record Type: Research project
• Source Agency: Center for Connected Multimodal Mobility
• Contract Numbers: 69A3551747117
• Files: UTC, RiP
• Created Date: Dec 18 2018 11:22AM