AI-driven Intruder Vehicle Detection and Alert System for Highway Work Zone Safety

This project is to develop and deliver an artificial intelligence (AI)-powered vision-based intrusion detection system that not only detects unauthorized vehicles but also optimizes alert mechanisms to protect both workers and drivers in real-time.

Language

• English

Project

• Status: Active
• Funding: $268,739.00
• Contract Numbers:

  GDOT RP 25-08

• Sponsor Organizations:

  Georgia Department of Transportation

  One Georgia Center
  600 West Peachtree Street, NW
  Atlanta, GA  United States  30308
• Managing Organizations:

  Georgia Department of Transportation

  One Georgia Center
  600 West Peachtree Street, NW
  Atlanta, GA  United States  30308
• Project Managers:

  Roney, Brennan

• Performing Organizations:

  Board of Regents of the University System of Georgia by and on the behalf of Georgia Institute of Technology

  505 Tenth Street, NW
  Atlanta, Georgia  United States  30332
• Principal Investigators:

  Cho, Yong

• Start Date: 20250703
• Expected Completion Date: 20270801
• Actual Completion Date: 0
• USDOT Program: Advanced Materials/Structural Safety
• USDOT Program: Highway Safety Research
• USDOT Program: Produce Safer Drivers
• Subprogram: Safety Data
• Subprogram: Transportation Options Analysis

Subject/Index Terms

• TRT Terms: Artificial intelligence; Detection and identification; Warning systems; Work zone safety; Work zone traffic control
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01962300
• Record Type: Research project
• Source Agency: Georgia Department of Transportation
• Contract Numbers: GDOT RP 25-08
• Files: RIP, STATEDOT
• Created Date: Jul 30 2025 1:01PM