DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. (arXiv:2208.06979v1 [cs.LG])

Estimated time of arrival (ETA) prediction, also known as travel time
estimation, is a fundamental task for a wide range of intelligent
transportation applications, such as navigation, route planning, and
ride-hailing services. To accurately predict the travel time of a route, it is
essential to take into account both contextual and predictive factors, such as
spatial-temporal interaction, driving behavior, and traffic congestion
propagation inference. The ETA prediction models previously deployed at Baidu
Maps have addressed the factors of spatial-temporal interaction …

arxiv baidu congestion graph graph learning learning lg maps modeling prediction traffic