Predictive Parking

Use CurbIQ to understand both real-time and predicted future occupancy, calculated using machine learning models trained with historical demand data.

CurbIQ’s Public-Facing Curb Viewer platform builds off real-time parking occupancy data to show predictive parking throughout the day. While live occupancy is obtained from infrastructure like sensors, cameras, or parking apps, predictive parking occupancy models collect and aggregate this data over time to compute future occupancies. Users can simply select the Predictive Parking option and pick a future time to get a range of expected usage for relevant curb spaces.

Predictive Parking functionality on the Public-Facing Curb Viewer platform

The machine learning model created to predict these future occupancies continues to improve as more data is collected and ingested in the model. Year over year data, as well as typical daily usage and current occupancies all contribute to the final predicted output to ensure an accurate result. Our models have been proven to be, on average, 94% accurate.

Public Benefits

• Let drivers find parking spaces more easily
• Help save time by reducing cruising time
• Help reduce congestion and emissions in high traffic areas
• Allow for better route and trip planning

City Benefits

• Review parking performance to make adjustments to pricing, parking times, and expansion of paid parking, all potentially increasing revenue
• Quick stats on average usage of on- and off-street parking spaces
• Help provide visuals and metrics for discussion on future development and planning

Predictive Parking functionality, also available on mobile version, for both on-street and off-street parking facilities.