SATP-GAN: self-attention based generative adversarial network for traffic flow prediction

Transportmetrica B Transport Dynamics ◽

10.1080/21680566.2021.1916646 ◽

2021 ◽

Vol 9 (1) ◽

pp. 552-568

Author(s):

Liang Zhang ◽

Jianqing Wu ◽

Jun Shen ◽

Ming Chen ◽

Rui Wang ◽

...

Keyword(s):

Traffic Flow ◽

Generative Adversarial Network ◽

Traffic Flow Prediction ◽

Adversarial Network ◽

Flow Prediction

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Generative Adversarial Network-Based Regional Epitaxial Traffic Flow Prediction

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-32591-6_87 ◽

2019 ◽

pp. 804-814

Author(s):

Yan Kang ◽

Jinyuan Li ◽

Shin-Jye Lee ◽

Hao Li

Keyword(s):

Traffic Flow ◽

Generative Adversarial Network ◽

Traffic Flow Prediction ◽

Adversarial Network ◽

Flow Prediction

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Short-Term Traffic Flow Prediction Based on Multi-Model by Stacking Ensemble Learning

10.1061/9780784483053.008 ◽

2020 ◽

Author(s):

Yong Chen

Keyword(s):

Traffic Flow ◽

Ensemble Learning ◽

Traffic Flow Prediction ◽

Flow Prediction

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Short Term Diverging Traffic Flow Prediction based on ImF-VOMM Method

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483216 ◽

2018 ◽

Author(s):

Xiangxiang Yu ◽

Dewei Li ◽

Yugeng Xi

Keyword(s):

Traffic Flow ◽

Traffic Flow Prediction ◽

Flow Prediction

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A method of city traffic flow prediction based on a grey neural network

Artificial Intelligence and Industrial Application ◽

10.2495/aiia140111 ◽

2015 ◽

Author(s):

X. W. Han ◽

Y. Zhao ◽

B. Y. Xin ◽

D. Wang

Keyword(s):

Neural Network ◽

Traffic Flow ◽

Traffic Flow Prediction ◽

Flow Prediction

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Short-term Traffic Flow Prediction Based on Multi-Auxiliary Information

2020 the 4th International Conference on Big Data Research (ICBDR'20) ◽

10.1145/3445945.3445951 ◽

2020 ◽

Author(s):

Kai Zhang ◽

Buliao Jia ◽

Yuhan Dong

Keyword(s):

Traffic Flow ◽

Auxiliary Information ◽

Traffic Flow Prediction ◽

Flow Prediction

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A review of deep learning models for traffic flow prediction in Autonomous Vehicles

2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) ◽

10.1109/icacccn51052.2020.9362972 ◽

2020 ◽

Author(s):

Avinash Kumar ◽

Priya Saha

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Autonomous Vehicles ◽

Learning Models ◽

Traffic Flow Prediction ◽

Flow Prediction

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Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction Based on Potential Energy Fields

2020 IEEE International Conference on Data Mining (ICDM) ◽

10.1109/icdm50108.2020.00128 ◽

2020 ◽

Author(s):

Jiahao Ji ◽

Jingyuan Wang ◽

Zhe Jiang ◽

Jingtian Ma ◽

Hu Zhang

Keyword(s):

Deep Learning ◽

Potential Energy ◽

Traffic Flow ◽

Learning Model ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Deep Learning Model

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FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) ◽

10.1109/ictai50040.2020.00057 ◽

2020 ◽

Author(s):

Donglin Chen ◽

Xiang Gao ◽

Chuanfu Xu ◽

Shizhao Chen ◽

Jianbin Fang ◽

...

Keyword(s):

Generative Adversarial Network ◽

Adversarial Network ◽

Flow Prediction

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A clustering based traffic flow prediction method with dynamic spatiotemporal correlation analysis

Transportation ◽

10.1007/s11116-021-10200-9 ◽

2021 ◽

Author(s):

Unsok Ryu ◽

Jian Wang ◽

Unjin Pak ◽

Sonil Kwak ◽

Kwangchol Ri ◽

...

Keyword(s):

Correlation Analysis ◽

Traffic Flow ◽

Prediction Method ◽

Traffic Flow Prediction ◽

Spatiotemporal Correlation ◽

Flow Prediction

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Online Traffic Flow Prediction for Edge Computing-Enhanced Autonomous and Connected Vehicles

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3057109 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaoxiang Song ◽

Yan Guo ◽

Ning Li ◽

Lixiong Zhang

Keyword(s):

Traffic Flow ◽

Edge Computing ◽

Connected Vehicles ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

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