Freeway and Arterial Performance and Safety Analysis with High Resolution Vehicle Trajectory Data
Local traffic agencies have large investments in intelligent transportation system (ITS) infrastructure including sensors such as cameras, radars, and loop detectors and communication to gain new insight for better planning, management, and operation of roadways. However, the ITS infrastructure is generally limited to dense urban areas and requires significant support to maintain coupled with limited in-house expertise to fully realize the promise of big data. Further, new high resolution vehicle trajectory data (HRVT) streams have become available to further complicate analysis and the value proposition of ITS hardware. This project will evaluate the potential for HRVT to support infrastructure owner operators (IOOs) and practitioners to more effectively plan, operate, and manage their systems and improve safety outcomes on their networks. HRVT will be integrated into traditional traffic analyses as well as leading edge deep learning research. The outcome of this project will be a tool to effectively query, store, process, and visualize HRVT data for practitioner use.
Language
- English
Project
- Status: Active
- Funding: $143821
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 - Performing Organizations: Las Vegas, NV United States
- Start Date: 20230601
- Expected Completion Date: 0
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Arterial highways; Data analysis; Freeways; Highway operations; Machine learning; Traffic data; Traffic safety; Vehicle trajectories
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01931109
- Record Type: Research project
- Source Agency: Research and Education in Promoting Safety (REPS) University Transportation Center
- Files: UTC, RIP
- Created Date: Sep 17 2024 5:43PM