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 …

External and internal factors can cause disturbances or disruptions in daily train operations,
leading to deviations from official timetables and passenger delays. As a result, efficient train …

Subway lines connecting different urban functional zones in large cities have direction-
dependent and time-variant passenger demand, namely, asymmetry in passenger demand …

The dynamics of a moving train are usually described by means of a motion model based on
Newton's second law. This model uses as input track geometry data and train characteristics …

Eco-driving for trains has traditionally focused on minimizing mechanical energy
consumption at wheels, while completely ignoring traction chain losses that are rather …

The single train trajectory optimization, also known as speed profile optimization (SPO), is a
traditional problem to minimize the traction energy consumption of trains. As a kind of …

Railway system performances depend on effective dynamic scheduling and train operation
control. The fast expansion and increasing complexity of high-speed railway (HSR) networks …

Train operation control in urban railways is challenging due to its high dynamics, complex
environment, and level of comfort and safety. To address these challenges, in this article, the …

In modern high-speed railway (HSR) systems, some pivot components of the train traction
system conduct energy conversion with a certain efficiency. With different train operational …

The smart railway stations (SRSs), as prosumer microgrids, are considered active users in
smart grids. By utilizing regenerative braking energy (RBE) and renewable energy …