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 …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

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 …

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 …

In this paper we present a stochastic model for predicting the propagation of train delays
based on Bayesian networks. This method can efficiently represent and compute the …

Accurate bus passenger flow prediction contributes to informed decisions and full utilization
of transit supply. Passenger flow is affected by an extensive range of attributes featuring …

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 …

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 …

Accurate demand forecasting is imperative for efficient railway cold chain freight operation
planning, resource optimization, and market responsiveness. Given the unique …