Sci-tech

Google Maps using DeepMind AI to predict your arrival time

Google Maps using DeepMind AI to predict your arrival time”

Google said its traffic predictions have been "consistently accurate" for more than 97% of trips.

According to CNN, the traffic light features have been available in Japan for years.

Instead of relying on historical patterns over time to predict traffic and to build a route, Google is now using more recent patterns from the past two to four weeks.

The tech giant made the update "to help people stay better informed on the road", a Google spokesperson said. The key to this process is the use of a special type of neural network known as Graph Neural Network, which Google says is particularly well-suited to processing this sort of mapping data.

Many drivers across the globe are using Google Maps to predict upcoming traffic jams, making it the company's most widely-used products. "This technique is what enables Google Maps to better predict whether or not you'll be affected by a slowdown that may not have even started yet!"

More news: Trump called dead US troops "losers"

To predict future patterns, Google's algorithms combines its database of historical traffic patterns with live traffic conditions, using machine learning to generate predictions based on both sets of data.

As we saw with COVID-19, unprecedented events can drastically disrupt traffic patterns and throw off prediction models.

"To account for this sudden change, we've recently updated our models to become more agile", added Johann.

The models work by dividing maps into what Google calls "supersegments" - clusters of adjacent streets that share traffic volume. Google additionally takes authoritative information from nearby governments for data on speed limits, tools and roadblocks.

Google Maps is integrating more and more services into its platform, from bike sharing to street parking and vehicle battery charging.



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