Application of Artificial Intelligence Technologies in FDOT Safety and Transportation System Management and Operational (TSM&O) Programs
The overall research objective is to evaluate artificial intelligence (AI) - ITMS technologies in dynamic crash prevention and video analytics (particularly incident management) in Florida. Overall objective is to understand state-of-the-art AI technologies in traffic management, including available and emerging technologies for traffic management, applications of AI ITMC, and impacts of AI technologies on safety and mobility. Also, provide recommendations for implementing the two AI technologies in Florida traffic management.
Language
- English
Project
- Status: Active
- Funding: $407218
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Contract Numbers:
BED25 977-13
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Sponsor Organizations:
University of South Florida, Tampa
Department of Civil and Environmental Engineering
4202 E. Flowler Avenue, ENB 118
Tampa, FL United States 33620-5350 -
Managing Organizations:
Florida Department of Transportation
Research Center
605 Suwannee Street MS-30
Tallahassee, FL United States 32399-0450 -
Project Managers:
Frost, Jeff
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Performing Organizations:
4202 East Fowler, Ave FAO126
Tampa, Fl United States 33620 -
Principal Investigators:
Wang, Zhenyu
- Start Date: 20221219
- Expected Completion Date: 20240831
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Incident management; Traffic control
- Geographic Terms: Florida
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01868597
- Record Type: Research project
- Source Agency: Florida Department of Transportation
- Contract Numbers: BED25 977-13
- Files: RIP, STATEDOT
- Created Date: Dec 27 2022 11:41AM