Curve Safety Improvements Using Mobile Devices and Automatic Curve Sign Detection (Ph. I)

The objective of this research is to develop and critically assess a method that integrates low-cost mobile devices and previously developed artificial intelligence to establish a live sustainable curve sign inventory. The proposed method will cost-effectively improve Georgia Department of Transportation's (GDOT’s) current manual curve sign inventory and enable GDOT to establish a live sustainable curve sign inventory. It will, also, enable GDOT to identify and replace curve signs in a proactive, timely, and systematic way that improves Georgia’s curved road safety.

Language

• English

Project

• Status: Completed
• Funding: $90000
• Contract Numbers:

  RP 18-18

• Sponsor Organizations:

  Georgia Department of Transportation

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

  Bui, Binh

• Performing Organizations:

  Georgia Tech Research Corporation

  505 Tenth Street
  Atlanta, GA  United States  30332-0420
• Principal Investigators:

  Tsai, James

• Start Date: 20181015
• Expected Completion Date: 20191115
• Actual Completion Date: 20200515

Subject/Index Terms

• TRT Terms: Artificial intelligence; Data collection; Highway curves; Highway safety; Improvements; Inventory; Mobile applications; Traffic signs
• Identifier Terms: Georgia Department of Transportation
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Operations and Traffic Management;

Filing Info

• Accession Number: 01702271
• Record Type: Research project
• Source Agency: Georgia Department of Transportation
• Contract Numbers: RP 18-18
• Files: RIP, STATEDOT
• Created Date: Apr 19 2019 3:31PM