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Machine Learning and Big Data-Based Approaches for Quality Freeway Volumes
Principal Investigator:
Adrian Cottam, University of Arizona
Summary:
Traffic volumes are essential for the operation of Intelligent Transportation Systems (ITS) and for use in performance metrics for Transportation Systems Management and Operations (TSMO). Maintaining high quality freeway volumes is paramount to ensure that freeway ITS solutions, such as ramp meters, operate smoothly. Furthermore, freeway performance metrics need quality volume data to provide an a...
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Project Details
| Project Type: | Dissertation |
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| Project Status: | Completed |
| End Date: | January 31, 2024 |
| UTC Funding: | $15,000 |