Interactive dynamic diffusion graph convolutional network for traffic flow prediction-Reference-Cited by-同舟云学术

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Interactive dynamic diffusion graph convolutional network for traffic flow prediction

Published:2024-08 Issue: Volume:677 Page:120938
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang Shuai^ORCID,Yu Wangzhi^ORCID,Zhang Wenyu^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Bibliometric methods in traffic flow prediction based on artificial intelligence;Chen;Expert Syst. Appl.,2023

2. Deep learning;LeCun;Nature,2015

3. A novel reinforced dynamic graph convolutional network model with data imputation for network-wide traffic flow prediction;Chen;Transportation Research Part C: Emerging Technologies,2022

4. Travel-time prediction with support vector regression;Wu;IEEE Trans. Intell. Transp. Syst.,2004

5. Predictions of freeway traffic speeds and volumes using vector autoregressive models;Chandra;J. Intell. Transp. Syst.,2009

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