Using Machine Learning to Predict Parking Difficulty

No monitoring of parking meters, video feeds, etc. Looking at the users their behavior is the way to do it:

Google determined that if users circled around a location like in the picture above, it usually suggested that parking might be difficult. To recognize this behavior, they took the difference between when they should have arrived at the location versus when they actually arrived there, with a large difference indicating more difficulty in finding a parking spot.

Using Machine Learning to Predict Parking Difficulty →

About the Author

Bramus is a Freelance Web Developer from Belgium. From the moment he discovered view-source at the age of 14 (way back in 1997), he fell in love with the web and has been tinkering with it ever since (more …)

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