Human reliability in railway engineering: Literature review and bibliometric analysis of the last two decades

L Ciani, G Guidi, G Patrizi - Safety science, 2022 - Elsevier
Human reliability is a critical aspect during safety assessment of many complex systems.
Design, installation and maintenance are some of the tasks that are still demanded to …

Types, risk factors, consequences, and detection methods of train driver fatigue and distraction

C Fan, S Huang, S Lin, D Xu, Y Peng… - Computational …, 2022 - Wiley Online Library
Train drivers' inattention, including fatigue and distraction, impairs their ability to drive and is
the major risk factor for human‐caused train accidents. Many experts have undertaken …

Detection of train driver fatigue and distraction based on forehead EEG: a time-series ensemble learning method

C Fan, Y Peng, S Peng, H Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Train driver fatigue and distraction are the main reasons for railway accidents. One of the
new technologies to monitor drivers is by using the EEG signals, which provides vital signs …

A knowledge graph-based approach for exploring railway operational accidents

J Liu, F Schmid, K Li, W Zheng - Reliability engineering & system safety, 2021 - Elsevier
Drawing lessons from past accidents is an essential way to improve the operational safety of
railways. Various railway operational accidents and their related hazards constitute a …

Using text mining to establish knowledge graph from accident/incident reports in risk assessment

C Liu, S Yang - Expert Systems with Applications, 2022 - Elsevier
To clarify the risk factors and propagation characteristics affecting railway safety, we learn
from historical reports to build a connected network of hazards and accidents, forming a …

An advanced approach to the system safety in sociotechnical systems

E Zarei, F Khan, R Abbassi - Safety science, 2023 - Elsevier
The safety performance of sociotechnical systems (STSs) and their main components (eg,
human, organization, and technology) vary due to numerous performance shaping factors …

[HTML][HTML] Human error contribution to accidents in the manufacturing sector: A structured approach to evaluate the interdependence among performance shaping …

CM La Fata, L Adelfio, R Micale, G La Scalia - Safety science, 2023 - Elsevier
Abstract Since the 1970s, Human Reliability Analysis (HRA) methods have received a great
interest for the quantification of the Human Error Probability (HEP) in Nuclear Power Plants …

Vulnerability modeling, assessment, and improvement in urban metro systems: A probabilistic system dynamics approach

H Chen, B Chen, L Zhang, HX Li - Sustainable Cities and Society, 2021 - Elsevier
The urban metro system is a complex system that is vulnerable to various kinds of hazards
and subjected to dynamics, where errors in any part are very likely to cause system failures …

Robust data-driven human reliability analysis using credal networks

C Morais, HD Estrada-Lugo, S Tolo, T Jacques… - Reliability Engineering & …, 2022 - Elsevier
Despite increasing collection efforts of empirical human reliability data, the available
databases are still insufficient for understanding the relationships between human errors …

[HTML][HTML] Predicting urban rail transit safety via artificial neural networks

FA Awad, DJ Graham, R Singh, L AitBihiOuali - Safety science, 2023 - Elsevier
This paper studies the operational safety of urban rail transit (URT) systems through Artificial
Neural Networks. While recent safety literature adopting systematic models of analysis …