Evaluating the Operations and Safety Benefits of AI-driven Driver Information-focused Countermeasures for CAV Technologies
The goal of this project would be to quantify the safety benefits using a combination of conventional crash-analyses techniques and surrogate safety measures as crashes are still rare events and there may not be adequate data in the short-term. The innovation in this project comes from a combination of developing an industry-first safety-based recommendation system for crash hotspots while using traffic simulation software that interfaces with the Surrogate Safety Assessment Model (SSAM) for the Trapezium corridor to assess the operational and safety benefits of connected and autonomous vehicle (CAV) deployments. Following the simulation analyses, the project will focus on on-field measurements of queues, delays, and near-misses for the Trapezium corridor.
Language
- English
Project
- Status: Active
- Funding: $505368
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Contract Numbers:
BDV31 977-140
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Sponsor Organizations:
Florida Department of Transportation
605 Suwannee Street
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
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Performing Organizations:
207 Grinter Hall
PO Box 115500
Gainesville, Florida United States 32611 -
Principal Investigators:
Srinivasan, Sivaramakrishnan
- Start Date: 20210402
- Expected Completion Date: 20230630
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Autonomous vehicles; Connected vehicles; Crash analysis; High risk locations; Traffic safety; Traffic simulation
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01771209
- Record Type: Research project
- Source Agency: Florida Department of Transportation
- Contract Numbers: BDV31 977-140
- Files: RIP, STATEDOT
- Created Date: May 4 2021 2:01PM