Research on Artificial-Intelligence for Data Integration with State Highway

Active traffic management implies the dynamic management of recurrent and non-recurrent congestion based on current and predicted traffic conditions. The goal of this project is to improve mobility and safety using data analytics and artificial intelligence applied in active traffic management for arterial freeway interactions. The project team will develop an integrated system that uses data collected from videos and loop detectors and other sensors for this purpose. Using machine learning and artificial intelligence, the team will develop techniques that will support real-time traffic management

Language

• English

Project

• Status: Completed
• Funding: $321020
• Contract Numbers:

  BED31 977-08

• Sponsor Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Managing Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Project Managers:

  Ponnaluri, Raj

• Performing Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Principal Investigators:

  Ranka, Sanjay

• Start Date: 20220615
• Expected Completion Date: 20240330
• Actual Completion Date: 20240412

Subject/Index Terms

• TRT Terms: Advanced traffic management systems; Arterial highways; Artificial intelligence; Data analysis
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01848622
• Record Type: Research project
• Source Agency: Florida Department of Transportation
• Contract Numbers: BED31 977-08
• Files: RIP, STATEDOT
• Created Date: Jun 15 2022 3:05PM