Tag: ETA
Improving Pickups with Better Location Accuracy
Uber built beacon to improve vehicle location accuracy on our platform, leading to more seamless rider pickup and dropoff experiences.
Science at Uber: Powering Uber’s Ridesharing Technologies Through Mapping
Dawn Woodard, Director of Data Science, considers travel time prediction one of Uber's most interesting mapping problems.
Improving Uber’s Mapping Accuracy with CatchME
CatchMapError (CatchMe) is a system that automatically catches errors in Uber's map data with anonymized GPS traces from the driver app.
Analyzing Experiment Outcomes: Beyond Average Treatment Effects
Quantile treatment effects (QTEs) enable our data scientists to capture the inherent heterogeneity in treatment effects when riders and drivers interact within the Uber marketplace.
