[HTML][HTML] A review of data-driven approaches to predict train delays

KY Tiong, Z Ma, CW Palmqvist - Transportation Research Part C: Emerging …, 2023 - Elsevier
Accurate train delay prediction is vital for effective railway traffic planning and management
as well as for providing satisfactory passenger service quality. Despite significant advances …

The economic value of reserve capacity considering the reliability and robustness of a rail transit network

J Liu, PM Schonfeld, S Zhan, B Du, M He… - … Engineering, Part A …, 2023 - ascelibrary.org
Existing studies estimate the economic value (EcV) of network reliability and robustness
separately. In this study, a model is proposed for estimating the EcV of reserve capacity in a …

Explainable train delay propagation: A graph attention network approach

P Huang, J Guo, S Liu, F Corman - Transportation Research Part E …, 2024 - Elsevier
Explaining train delay propagation using influence factors (to find the determinants) is
essential for transport planning and train operation management. Due to high interpretability …

An influence path analytic study for the operational performance of large passenger railway stations: The China case

X Liu, Q Peng, B Du, Y Zhang, Q Zhong… - … Research Part A: Policy …, 2024 - Elsevier
The knowledge development of the influence mechanism for the operational performance of
large passenger railway stations (OPLPRS) is of great significance for station managers in …

An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China–Europe railway express

J Guo, W Wang, J Guo, A D'Ariano, T Bosi… - Expert Systems with …, 2024 - Elsevier
Since the inception of the China–Europe Railway Express (CRE), rail transportation has
emerged as a predominant means of transporting goods across international borders. The …

A novel deep learning model for short-term train delay prediction

B Gao, L Zhang, D Ou, D Dong - Information Sciences, 2023 - Elsevier
As the density of railway operations increases annually, train delays typically result in a
greater degree of economic loss. If we can accurately assess the current evolution of …

[HTML][HTML] Analyzing factors contributing to real-time train arrival delays using seemingly unrelated regression models

KY Tiong, Z Ma, CW Palmqvist - Transportation Research Part A: Policy and …, 2023 - Elsevier
Understanding the impact of various factors on train arrival delays is a prerequisite for
effective railway traffic operating control and management. Existing studies analyze the train …

Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections

Z Li, P Huang, C Wen, J Li, F Rodrigues - Expert Systems with Applications, 2023 - Elsevier
Rolling stock connections and route conflicts of trains at terminal stations are critical to train
delay propagation and prediction on the railway networks. Previous studies primarily …

An approach to railway network sections modeling based on queuing networks

A Kazakov, A Lempert, M Zharkov - Journal of Rail Transport Planning & …, 2023 - Elsevier
The paper is devoted to the study and long-term forecasting of railway network sections
operating. We call a railway network section a set of several railway stations interacting with …

Optimize railway crew scheduling by using modified bacterial foraging algorithm

S Pang, MC Chen - Computers & Industrial Engineering, 2023 - Elsevier
With crew scheduling and Artificial Intelligence (AI) gaining attention in the past few years,
there has been growing interest in algorithms that could effectively handle the crew …