[HTML][HTML] A review of data-driven approaches to predict train delays
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 …
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
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 …
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
Explaining train delay propagation using influence factors (to find the determinants) is
essential for transport planning and train operation management. Due to high interpretability …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
there has been growing interest in algorithms that could effectively handle the crew …