Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction-Reference-Cited by-同舟云学术

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Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction

Published:2024-07 Issue:7 Volume:25 Page:8193-8208
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Li Jianmin¹^ORCID,Xu Xinyue¹^ORCID,Ding Xin¹^ORCID,Liu Jun¹^ORCID,Ran Bin²

Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

2. Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, USA

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6979/10582787/10556585.pdf?arnumber=10556585

Reference51 articles.

1. Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction

2. Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach

3. Prediction of train arrival delays considering route conflicts at multi-line stations

4. Modeling train operation as sequences: A study of delay prediction with operation and weather data

5. An ensemble prediction model for train delays

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