Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

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 …

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 …

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 …

The credit risk of small and medium-sized enterprises (SMEs) in supply chain finance (SCF)
is defined as the probability that the SME would default on loans derived from financing for …

The construction of an accurate train control model (TCM) is crucial to the design of
automatic train operation and real-time traffic management systems in high-speed railways …

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 …

Railway operations are subject to deviations from the planned schedule, ie, delays. In those
situations, high-quality traffic control actions are needed to reduce the delays. Existing …

Multi-line stations (MLSs) are the intersections of different railway lines; they are crucial for
delay propagation in railway networks. Therefore, the precise prediction of train arrival …

As a vital component of train operational control, train delay propagation pattern discovery is
critically important for both railway controllers and passengers. In this study, we present a …