Development of a Traffic Incident Management Toolbox and Evaluation of Data Sources for Effective Early Warning and Detection of Abnormal Traffic Conditions

The main goal of this research is to identify, compare, and evaluate various Traffic Incident Managemetn (TIM) data sources and warning systems to provide FDOT with a toolbox of effective data sources and warning systems for different scenarios. These data sources and warning systems could be used to proactively provide early warnings of abnormal traffic conditions which could potentially lead to crashes if not addressed. The effectiveness and performance of the studied data sources and warning systems will be compared to existing data sources and systems used by FDOT for different event types (road hazards, congestion, etc.) and area/ environmental characteristics (such as urban vs. rural and day vs. night) to identify the best data sources and warning systems for different areas and roadways. The developed TIM toolbox will be tailored to the appropriate end users (traffic management center (TMC) operators, operations managers, etc.), allowing FDOT to easily identify the most effective data sources and warning systems for potential future deployment and testing, reducing congestion and saving lives.


    • English


    • Status: Active
    • Funding: $350000
    • Contract Numbers:

      BED26 977-11

    • Sponsor Organizations:

      Florida Department of Transportation

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

      Gordin, Eric

    • Principal Investigators:

      Al-Deek, Haitham

    • Start Date: 20231128
    • Expected Completion Date: 20251130
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01901128
    • Record Type: Research project
    • Source Agency: Florida Department of Transportation
    • Contract Numbers: BED26 977-11
    • Files: RIP, STATEDOT
    • Created Date: Nov 30 2023 11:04AM