An Artificial intelligence (AI) Based Overheight Vehicle Warning System for Bridges

Impact of overheight vehicles on bridges is a major problem that causes extensive damage and leads to frequent traffic and mobility issues. This research targets a low-cost Artificial Intelligence-(AI)-based overheight vehicle warning system for bridges based on the use of cutting-edge camera technology, augmented reality and AI-based height detection. The proposed system could be installed on a bridge in the traffic-facing direction detect an incoming overheight truck from a safe stopping distance using the combination of image processing, augmented reality,and AI. Successful completion of the research might lead to commercial development of a system that could be cost-effectively installed to prevent impacts to bridges by trucks nationwide.

• Record URL:
  https://c2smart.engineering.nyu.edu/an-artificial-intelligence-ai-based-overheight-vehicle-warning-system-for-bridges/

Language

• English

Project

• Status: Completed
• Funding: $100493
• Contract Numbers:

  69A3551747124

• Sponsor Organizations:

  The City College of New York

  160 Convent Avenue
  New York, New York  United States  10031

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Performing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Principal Investigators:

  Agrawal, Anil

• Start Date: 20220301
• Expected Completion Date: 20230930
• Actual Completion Date: 20230930
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Artificial intelligence; Automatic vehicle detection and identification systems; Bridges; Cameras; Cost effectiveness; Height; Impact; Trucks; Virtual reality
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01842985
• Record Type: Research project
• Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
• Contract Numbers: 69A3551747124
• Files: UTC, RIP
• Created Date: Apr 22 2022 11:01AM