An Effective Dynamic Spatio-temporal Framework with Multi-Source Information for Traffic Prediction

8 May 2020 Jichen Wang Weiguo Zhu Yongqi Sun Chunzi Tian

Traffic prediction is necessary not only for management departments to dispatch vehicles but also for drivers to avoid congested roads. Many traffic forecasting methods based on deep learning have been proposed in recent years, and their main aim is to solve the problem of spatial dependencies and temporal dynamics... (read more)

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