Using Machine Learning to predict parking difficulty via @googleresearch

Google released a feature for Google Maps for Android in 25 US cities that predicts parking difficulty close to your destination so you can plan accordingly. To build it, Google had to overcome obstacles like the lack of real-time information about parking spots, high variability (day, time, work day, events, etc.), difficult to graph parking structures, and illegal parking. Google used a combination of crowdsourcing and machine learning to address those issues. Here's how they did it.

Posted by James Cook, Yechen Li, Software Engineers and Ravi Kumar, Research Scientist

Interesting feature that could be very useful in London or any other busy city. Lets hope they are able to roll it out.