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 …

Advanced rail transit systems (ARTS), including high-speed rail and maglev trains, provide
enhanced transportation options to meet the growing demand for efficient transportation …

Railway track maintenance and renewal are vital for railway safety, train punctuality, and
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …

In last few years, big data and deep learning technologies have been successfully applied in
various fields of civil engineering with the great progress of machine learning techniques …

Railway systems play a vital role in the world's economy and movement of goods and
people. Rail tracks are one of the most critical components needed for the uninterrupted …

Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …

This paper presents a model for optimising fleet maintenance management with a particular
application to train rolling stock fleets. The proposed model produces a joint schedule for …

Background: Industry 4.0 technologies have been widely used in the railway industry,
focusing mainly on maintenance and control tasks necessary in the railway infrastructure …

Railway stations are essential aspects of railway systems, and they play a vital role in public
daily life. Various types of AI technology have been utilised in many fields to ensure the …