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 …

In this literature review, we systematically review studies on public transit control with a
specific focus on at-stop measures. In our synthesis of the relevant literature, we consider …

Wind speed forecasting is a promising solution to improve the efficiency of energy utilization.
In this study, a novel hybrid wind speed forecasting model is proposed. The whole modeling …

Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …

Accurate load forecasting is challenging due to the significant uncertainty of load demand.
Deep reinforcement learning, which integrates the nonlinear fitting ability of deep learning …

Disruptions to airline schedules precipitate flight delays/cancellations and significant losses
for airline operations. The goal of the integrated airline recovery problem is to develop an …

Along with the fourth industrial revolution, different tools coming from optimization, Internet of
Things, data science, and artificial intelligence fields are creating new opportunities in …

The energy-efficient train operation methodology is the focus of this paper, and a Q-Learning-
based eco-driving approach is proposed. Firstly, the core idea of energy-distribution-based …

In this study, we deal with the inventory management system of perishable products under
the random demand and deterministic lead time in order to minimize the total cost of a …

Railway maintenance is a complex and complicated task in the railway industry due to the
number of its components and relationships. Ineffective railway maintenance results in …