Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction
IEEE Transactions on Intelligent Transportation Systems, pp. 1-15, 2020.
摘要:
As a crucial component in intelligent transportation systems, traffic flow prediction has recently attracted widespread research interest in the field of artificial intelligence (AI) with the increasing availability of massive traffic mobility data. Its key challenge lies in how to integrate diverse factors (such as temporal rules and spa...更多
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