Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

Open Access

Peer-reviewed

Research Article

Xiaolei Ma,

Affiliations School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure, Systems, and Safety Control, Beihang University, Beijing, China, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, China
⨯
Haiyang Yu ,

* E-mail: hyyu@buaa.edu.cn

Affiliations School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure, Systems, and Safety Control, Beihang University, Beijing, China, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, China
⨯
Yunpeng Wang,

Affiliations School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure, Systems, and Safety Control, Beihang University, Beijing, China, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, China
⨯
Yinhai Wang

Affiliation Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, United States of America
⨯

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Transportation
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Algorithms
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Deep learning
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Support vector machines
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Recurrent neural networks
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Network analysis
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Data mining
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Probability distribution
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