Hoyt

Finding street parking is a headache, a waste of time, and a polluter. We are building an app that provides real-time accurate parking recommendations to frustrated drivers.

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It is a system that allows users to search for a destination and visualize parking availability based on precomputed and live parking data. Destinations are grouped into zones (100m²), and parking attempts are clustered into regions (50m²). Each region has a probability score that determines how easy or difficult it is to find parking. Users interact with an interactive map where regions are color-coded based on parking probability. When a user hovers over a region, they can see detailed parking statistics for that area. By using a static dataset, the app provides fast and realistic parking insights, allowing users to simulate real-world parking conditions.

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