A Dynamic Bayesian-Based Method for DFA in Specialized Vehicles

doi:10.1080/10447318.2025.2558019

A Dynamic Bayesian-Based Method for DFA in Specialized Vehicles

2025-09-22

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DOI：10.1080/10447318.2025.2558019

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In specialized vehicles’ confined spaces, human performance is affected by both complex tasks and harsh environments, making task or workload assessments insufficient. This paper categorizes human-machine system (HMS) performance into accuracy and speed, aligning with task requirements. A Dynamic Bayesian Network (DBN) model, based on expert knowledge, is proposed to compute performance under fluctuating task demands. A simplified OpenMATB case study validated the model’s accuracy. Applying dynamic function allocation (DFA) significantly improved HMS performance, guiding automated system design in such constrained settings.

Keyword:

Human-machine function allocation

dynamic Bayesian networks

system performance prediction

specialized vehicles

A Dynamic Bayesian-Based Method for DFA in Specialized Vehicles

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