Benefit-Cost Analysis to Use Big Data via Data Service - A Focused Study Using Aerial Imagery Data to Improve Pedestrian and Bicycle Safety
The research will investigate the utilization of available big data to enhance safety and efficiency for transportation agencies. This will be achieved by conducting a thorough benefit-cost analysis using a specific instance of big data as an example. Researchers will compare this innovative approach with traditional methods, and evaluate the ability, availability, and affordability of big data via a focused study using high-resolution imagery data and the application of artificial intelligence and machine learning tools to identify locations that need countermeasure implementation or infrastructure improvements to improve pedestrian and bicycle safety.
Language
- English
Project
- Status: Active
- Funding: $257516
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Contract Numbers:
BED25 977-16
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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:
Duran, Emmeth
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Performing Organizations:
University of South Florida, Tampa
Center for Urban Transportation Research
3650 Spectrum Boulevard
Tampa, FL United States 33612-9446 -
Principal Investigators:
Kourtellis, Achilleas
- Start Date: 20231016
- Expected Completion Date: 20250430
- Actual Completion Date: 0
- USDOT Program: Data Access and Exchanges
Subject/Index Terms
- TRT Terms: Artificial intelligence; Benefit cost analysis; Data analysis; Image analysis; Machine learning; Pedestrian safety
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01920480
- Record Type: Research project
- Source Agency: Florida Department of Transportation
- Contract Numbers: BED25 977-16
- Files: RIP, STATEDOT
- Created Date: Jun 3 2024 3:27PM