Using Machine Learning to Predict Parking Difficulty

A unique combination of crowdsourcing and machine learning was used to build a system that can provide users with parking difficulty information for their destination, and even help them decide what mode of travel to take. In a pre-launch experiment, there was a significant increase in clicks on the transit travel mode button, indicating that users with additional knowledge of parking difficulty were more likely to consider public transit rather than driving.


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