Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism-Reference-Cited by-同舟云学术

Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism

Published:2022-12 Issue: Volume:608 Page:128274
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Zheng Yan,Wang Shengyou,Dong Chunjiao,Li Wenquan,Zheng Wen^ORCID,Yu Jingcai

Funder

National Key Research and Development Program of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference32 articles.

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3. A hybrid deep learning model with 1DCNN-LSTM-attention networks for short-term traffic flow prediction;Wang;Phys. A Stat. Mech. Appl.,2021

4. A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD-ARIMA framework;Wang;Transp. B Transp. Dyn.,2016

5. Combining Kohonen maps with arima time series models to forecast traffic flow;vanderVoort;Transp. Res. C Emerg. Technol.,1996

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