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Found 3 papers, 2 papers with code
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
In this paper, based on the maximal information coefficient, we present two elaborate spatiotemporal representations, spatial correlation information (SCorr) and temporal correlation information (TCorr).
Ranked #1 on
Traffic Prediction
on HZME(outflow)
An Effective Dynamic Spatio-temporal Framework with Multi-Source Information for Traffic Prediction
Traffic prediction is necessary not only for management departments to dispatch vehicles but also for drivers to avoid congested roads.
SQLFlow: A Bridge between SQL and Machine Learning
Previous database systems extended their SQL dialect to support ML.
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