DeepETA: How Uber Predicts Arrival Times Using Deep Learning

At Uber, magical customer experiences depend on accurate arrival time predictions (ETAs). We use ETAs to calculate fares, estimate pickup times, match riders to drivers, plan deliveries, and more. Traditional routing engines compute ETAs by dividing up the road network

The post DeepETA: How Uber Predicts Arrival Times Using Deep Learning appeared first on Uber Engineering Blog.

Read More