Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction

Lingbo Liu
Lingbo Liu
Jiajie Zhen
Jiajie Zhen
Geng Zhan
Geng Zhan
Zhaocheng He
Zhaocheng He

IEEE Transactions on Intelligent Transportation Systems, pp. 1-15, 2020.

被引用0|引用|浏览13|DOI:https://doi.org/10.1109/TITS.2020.3002718
其它链接academic.microsoft.com

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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