![]() ![]() By partnering with DeepMind, we’ve been able to cut the percentage of inaccurate ETAs even further by using a machine learning architecture known as Graph Neural Networks–with significant improvements in places like Berlin, Jakarta, São Paulo, Sydney, Tokyo, and Washington D.C. Our ETA predictions already have a very high accuracy bar–in fact, we see that our predictions have been consistently accurate for over 97% of trips. Recently, we partnered with DeepMind, an Alphabet AI research lab, to improve the accuracy of our traffic prediction capabilities. We then combine this database of historical traffic patterns with live traffic conditions, using machine learning to generate predictions based on both sets of data. For example, one pattern may show that the 280 freeway in Northern California typically has vehicles traveling at a speed of 65mph between 6-7am, but only at 15-20mph in the late afternoon. To predict what traffic will look like in the near future, Google Maps analyzes historical traffic patterns for roads over time. Predicting traffic with advanced machine learning techniques, and a little bit of history This is where technology really comes into play. But while this information helps you find current traffic estimates -whether or not a traffic jam will affect your drive right now-it doesn’t account for what traffic will look like 10, 20, or even 50 minutes into your journey. When people navigate with Google Maps, aggregate location data can be used to understand traffic conditions on roads all over the world. Live traffic, powered by drivers all around the world If you’ve ever wondered just how Google Maps knows when there’s a massive traffic jam or how we determine the best route for a trip, read on. ![]() Today, we’ll break down one of our favorite topics: traffic and routing. While all of this appears simple, there’s a ton going on behind the scenes to deliver this information in a matter of seconds. When you hop in your car or on your motorbike and start navigating, you’re instantly shown a few things: which way to go, whether the traffic along your route is heavy or light, an estimated travel time, and an estimated time of arrival (ETA). Whether you’re online on your home computer ensuring no unexpected snarls await your drive to the airport or you’ve been stuck behind a line of cars for a few minutes and can ask your friend in the passenger seat to check whether it’ll clear up just around the bend, we hope these updates save you time and stress when getting to your destination.Every day, over 1 billion kilometers are driven with Google Maps in more than 220 countries and territories around the world. Now the streets of Bogotá, San José, and Panama City and the arterial roads in Kalamazoo (Michigan), Portland (Maine), Tuscaloosa (Alabama) and many more cities will include real-time current traffic conditions as well as estimated travel times. Today, we’re expanding this coverage for the first time to more than 130 smaller cities across the United States as well as the capitals of Colombia, Costa Rica, and Panama. We may not be able to eliminate the bottlenecks that plague rush hours worldwide, but since launching our live traffic feature in 2008 we’ve been working to make the traffic information in Google Maps even more comprehensive and accurate to help you speed up your trips.
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