Uber Explores Deep Learning To Develop ‘DeepETA’: A Low-Latency Deep Neural Network Architecture For ETA Prediction

Web mapping services like Google Maps are excellent tools to dynamically navigate portions of the Earth. They are used daily by businesses that rely on accurate mapping features (such as food delivery services to provide accurate and optimized delivery time estimates) and everyday consumers looking for (best) routes between waypoints.

Therefore, predicting the expected arrival time (ETA) is vital to allow traffic participants to make better decisions, potentially avoiding congested areas and reducing the overall time spent stuck in traffic. …

architecture deep learning deeplearning deep neural network learning network neural network prediction uber