This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $250,000 to the University of Washington to develop a smart curbside parking management system. The key products and services to be delivered under this 18-month project include:
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AI models and algorithms to accurately read, locate, and track curbside parking signs, detect open parking spots, and monitor curbside parking occupancy using street video data and IoT technologies.
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A curbside parking rule database to support the smart parking management system.
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A system for managing a comprehensive curbside parking inventory.
The project aims to provide cities with an accurate curbside parking management solution to optimize curb lane utilization, parking planning, and pricing. It will also enable map/navigation service providers to reduce the time drivers spend searching for parking. The work will involve training students in machine learning and IoT research for smart mobility applications, and is being led by a team of primarily female researchers, entrepreneurs, and minorities.
Generated 4/2/24, 6:37 AM