Development of Sensing Methodology for Intelligent and Reliable Work Zone Hazard Awareness

This project will develop a methodology based on vision-based object recognition algorithms and integrated global positioning systems (GPS) and vision technologies to recognize and warn against intruding vehicles as well as hazards inside work zones. The work will be carried out in two stages. Work in Stage 1 will focus on developing object recognition and tracking algorithms. Following a literature review, algorithms will be developed to reliably detect, recognize, and track unauthorized vehicles intruding into taper of the work zone closure. Suitable hardware configuration (camera configuration) for the set-up will also be explored. Work in Stage 2 will involve development of safety warning algorithms. Working with Georgia Department of Transportation (DOT), hazard characteristics of a vehicle that could potentially intrude the taper of a work zone closure will be identified. Additionally, possible hazardous conditions will also be identified for establishing the comprehensive early-warning criteria. Using this information, early warning algorithms capable of minimizing the false negative and false positive (false alarms) will be developed. The final report will provide details on the developed algorithms along with results for the methodology in actual highway tests and guidelines for its implementation by state highway agencies.

Language

  • English

Project

  • Status: Completed
  • Contract Numbers:

    Project 20-30, IDEA

  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    American Association of State Highway & Transportation Officials (AASHTO)

    444 North Capitol Street, NW, Suite 225
    Washington, DC  United States  20001

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Jawed, Inam

  • Start Date: 20090422
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • Source Data: RiP Project 22083

Subject/Index Terms

Filing Info

  • Accession Number: 01547246
  • Record Type: Research project
  • Source Agency: National Cooperative Highway Research Program
  • Contract Numbers: Project 20-30, IDEA
  • Files: TRB, RiP
  • Created Date: Dec 4 2014 1:00AM