Spatiotemporal Correlation Modelling for Machine Learning-based Traffic State Predictions: State-of-the-art and Beyond

Spatiotemporal Correlation Modelling for Machine Learning-based Traffic State Predictions: State-of-the-art and Beyond

10.1080/01441647.2023.2171151

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Bibliographic Details
Main Authors: Haipeng Cui, Qiang Meng, Teng Teck-Hou, Xiaobo Yang
Other Authors: CIVIL AND ENVIRONMENTAL ENGINEERING
Format: Article
Published: Taylor & Francis 2023
Online Access:https://scholarbank.nus.edu.sg/handle/10635/242100
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Institution: National University of Singapore
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Summary:10.1080/01441647.2023.2171151

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