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A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships
J Zhang, M **, C Wan, Z Dong, X Wu - Reliability Engineering & System …, 2024 - Elsevier
Safety is an important premise and foundation for the operation of intelligent ships. This
paper introduces a novel scenario analysis framework that employs disaster system theory …
paper introduces a novel scenario analysis framework that employs disaster system theory …
Research on scenario deduction and emergency decision-making evaluation for construction safety accidents
This study introduces an innovative “scenario-response” analysis framework for emergency
management in construction safety accidents. Leveraging Bayesian Network (BN) …
management in construction safety accidents. Leveraging Bayesian Network (BN) …
Causative analysis of freight railway accident in specific scenes using a data-driven Bayesian network
As the freight railway system is a typical complex system, freight railway accidents have
various and complex accident scenes. A Data-Driven Bayesian Network (DDBN) with …
various and complex accident scenes. A Data-Driven Bayesian Network (DDBN) with …
Discovering injury severity risk factors in automobile crashes: a hybrid explainable AI framework for decision support
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …
many more severe injuries. Thus, understanding the most impactful contributors to severe …
What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey
Autonomous vehicles (AVs) will bring considerable benefits to individuals and society, while
the process of AVs' popularity may not always be smooth. Sometimes crashes are …
the process of AVs' popularity may not always be smooth. Sometimes crashes are …
Mining and modeling the direct and indirect causalities among factors affecting the Urban Heat Island severity using structural machine learned Bayesian networks
Urbanization, population growth, and climate change have several impacts on the
environment including the extreme increase in temperature in urban areas, which is also …
environment including the extreme increase in temperature in urban areas, which is also …
Investigating the impact of influential factors on crash types for autonomous vehicles at intersections
Abstract Autonomous Vehicles (AVs) are being promoted as an emerging technology with
the potential to improve traffic efficiency and safety. However, the scarcity of publicly …
the potential to improve traffic efficiency and safety. However, the scarcity of publicly …
Willingness to utilize autonomous vehicles following accidents: A fresh perspective from mixed-methods research
Y Zhou, H Guo, L Tang, Y Deng, H Shi - Transportation Research Part F …, 2024 - Elsevier
While autonomous vehicles (AVs) show promise, several challenges remain in their
implementation. In this regard, adverse incidents can alter public perceptions and …
implementation. In this regard, adverse incidents can alter public perceptions and …
Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system
Bridges are one of the critical infrastructure systems and play a critical role in supporting the
economic development of nations. During the planning, design, and construction phases of …
economic development of nations. During the planning, design, and construction phases of …
Characteristics identification and evolution patterns analyses of road chain conflicts
Chain conflicts would cause chain-reaction crashes, which might result in elevated fatality
rates. Chain conflicts describe a phenomenon wherein evasive actions taken by a following …
rates. Chain conflicts describe a phenomenon wherein evasive actions taken by a following …