In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

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 …

Accurate train arrival delay prediction is critical for real-time train dispatching and for the
improvement of the transportation service. This study proposes a data-driven method that …

This paper presents a carefully designed train delay prediction model, called FCLL-Net,
which combines a fully-connected neural network (FCNN) and two long short-term memory …

The main objective of sustainable development is to ensure the current and future demand
can be satisfied. Food, energy and water is the primary human demand. However, China is …

Railway operations are vulnerable to delays. Accurate predictions of train arrival and
departure delays improve the passenger service quality and are essential for real-time …

Train delay prediction is a key technology for intelligent train scheduling and passenger
services. We propose a train delay prediction model that takes into account the asynchrony …

Train delay prediction can improve the quality of train dispatching, which helps the
dispatcher to estimate the running state of the train more accurately and make reasonable …

A large-scale ensemble prediction model to predict train delays is presented. The ensemble
model uses a disparate set of models, two statistical and one simulation-based to generate …

Delay prediction is an important issue associated with train timetabling and dispatching.
Based on real‐world operation records, accurate forecasting of delays is of immense …