most citedTraffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

101 citations · 183 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2018★ 82 cited

Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation

Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira

Traffic speed data imputation is a fundamental challenge for data-driven transport analysis. In recent years, with the ubiquity of GPS-enabled devices and the widespread use of cro…

cs.LG2018★ 101 cited

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Zhiyong Cui, Kristian Henrickson, Ruimin Ke +2

Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due to the time-varying traffic patterns and the complicated spatial dependencies on ro…