Robust Self-Attention ConvLSTM-based Traffic Flow Prediction Model-Reference-Cited by-同舟云学术

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Robust Self-Attention ConvLSTM-based Traffic Flow Prediction Model

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Information Science and Technology (ICIST)
language:
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Author:

Zhang Xueli¹,Ng Wing W. Y.¹,Wang Ting²

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology,Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information,Guangzhou,China

2. School of Medicine, South China University of Technology,Department of Radiology, Guangzhou First People's Hospital,Guangzhou,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926748/9926742/09926853.pdf?arnumber=9926853

Reference22 articles.

1. TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

2. Data-Driven Intelligent Transportation Systems: A Survey

3. Network Traffic Dynamics Prediction with a Hybrid Approach: Autoencoder-VAR

4. Travel-Time Prediction With Support Vector Regression

5. Application of KNN prediction model in urban traffic flow prediction

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