Application of systems thinking accident analysis methods: A review for railways
MA Rad, LM Lefsrud, MT Hendry - Safety science, 2023 - Elsevier
Accident analysis methods are used to identify contributory factors and the entire cause-
effect process leading to an accident. The safety science literature has emphasized the …
effect process leading to an accident. The safety science literature has emphasized the …
[HTML][HTML] Major aviation accident investigation methodologies used by ITSA members
K Bills, L Costello, M Cattani - Safety science, 2023 - Elsevier
Abstract The International Civil Aviation Organization (ICAO) Annex 13 framework for
aviation investigation is longstanding and well developed but does not require or audit use …
aviation investigation is longstanding and well developed but does not require or audit use …
Governing beyond innovation: Exploring the impact of connected and automated vehicles on the organization of vehicle accident investigations
H Ito, J Kester - International Journal of Sustainable Transportation, 2023 - Taylor & Francis
Connected and automated vehicles (CAVs) bring new risks and safety benefits to future road
transport. This paper explores the impacts and consequences of CAVs on the …
transport. This paper explores the impacts and consequences of CAVs on the …
Managing the risks associated with technological disruption in the road transport system: A control structure modelling approach
Road transport is experiencing disruptive change from new first-of-a-kind technologies.
While such technologies offer safety and operational benefits, they also pose new risks. It is …
While such technologies offer safety and operational benefits, they also pose new risks. It is …
Forecasting emergent risks in advanced AI systems: an analysis of a future road transport management system
Artificial Intelligence (AI) is being increasingly implemented within road transport systems
worldwide. Next generation of AI, Artificial General Intelligence (AGI) is imminent, and is …
worldwide. Next generation of AI, Artificial General Intelligence (AGI) is imminent, and is …
Development and classification of autonomous vehicle's ambiguous driving scenario
Human drivers are gradually being replaced by highly automated driving systems, and this
trend is expected to persist. The response of autonomous vehicles to Ambiguous Driving …
trend is expected to persist. The response of autonomous vehicles to Ambiguous Driving …
Development and validation of automated driving behavior questionnaire (ADBQ)
T Baby, SH Yoon, J Lee, Z Cui, M Itoh… - … research part F: traffic …, 2024 - Elsevier
Abstract The Driver Behavior Questionnaire (DBQ), which is rooted in Human Factors, is a
common tool used in the context of driving behavior. However, it does not consider driver …
common tool used in the context of driving behavior. However, it does not consider driver …
An incident reporting and learning system to understand cycling incident causation in Australia: a 12-month implementation of CRIT
The benefits of cycling are well-recognised, however, safety remains a key barrier to cycling
participation. The knowledge base on cyclist safety is limited as existing data systems are …
participation. The knowledge base on cyclist safety is limited as existing data systems are …
A framework of human factors methods for safe, ethical, and usable artificial intelligence in defense
Ensuring that artificial intelligence (AI) technologies support ethical decision-making is a
critical contemporary challenge in defense. Human factors and ergonomics (HFE) has a key …
critical contemporary challenge in defense. Human factors and ergonomics (HFE) has a key …
A Proposed Safety Case Framework for Automated Vehicle Safety Evaluation
Automated driving system (ADS)-equipped vehicles (AVs) are currently being developed
and deployed on public roads. While the benefits to public safety (among other potential …
and deployed on public roads. While the benefits to public safety (among other potential …