[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems

R Tang, L De Donato, N Besinović, F Flammini… - … Research Part C …, 2022 - Elsevier
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 …

[HTML][HTML] The usefulness of artificial intelligence for safety assessment of different transport modes

DI Tselentis, E Papadimitriou, P van Gelder - Accident Analysis & …, 2023 - Elsevier
Recent research in transport safety focuses on the processing of large amounts of available
data by means of intelligent systems, in order to decrease the number of accidents for …

Artificial intelligence in railway transport: Taxonomy, regulations, and applications

N Bešinović, L De Donato, F Flammini… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Advances in the application of machine learning techniques for power system analytics: A survey

SM Miraftabzadeh, M Longo, F Foiadelli, M Pasetti… - Energies, 2021 - mdpi.com
The recent advances in computing technologies and the increasing availability of large
amounts of data in smart grids and smart cities are generating new research opportunities in …

Cause analysis of hot work accidents based on text mining and deep learning

H Xu, Y Liu, CM Shu, M Bai, M Motalifu, Z He… - Journal of loss …, 2022 - Elsevier
Hot work accidents have significant consequences. Admittedly, preventing hot work
accidents requires managers to analyze the accident profoundly and learn from the requisite …

Information security and privacy in railway transportation: A systematic review

P López-Aguilar, E Batista, A Martínez-Ballesté… - Sensors, 2022 - mdpi.com
Intelligent transportation systems will play a key role in the smart cities of the future. In
particular, railway transportation is gaining attention as a promising solution to cope with the …

A deep learning approach towards railway safety risk assessment

H Alawad, S Kaewunruen, M An - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Prediction of thermal-induced buckling failures of ballasted railway tracks using artificial neural network (ANN)

C Ngamkhanong, S Kaewunruen - International Journal of Structural …, 2022 - World Scientific
This paper investigates the possibility for implementing machine learning-aided prediction in
analyzing the buckling phenomena of ballasted railway tracks induced by extreme …

Detection and severity evaluation of combined rail defects using deep learning

J Sresakoolchai, S Kaewunruen - Vibration, 2021 - mdpi.com
Various techniques have been developed to detect railway defects. One of the popular
techniques is machine learning. This unprecedented study applies deep learning, which is a …

RailSeg: Learning Local-Global Feature Aggregation with Contextual Information for Railway Point Cloud Semantic Segmentation

T Jiang, B Yang, Y Wang, L Dai, B Qiu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Incomplete or outdated inventories of railway infrastructures may disrupt the railway sector's
administration and maintenance of transportation infrastructure, thus posing potential threats …