Charting the landscape of rail human factors and automation: A systematic scoping review

Abbreviated Abstract: This systematic scoping review examines research on human factors and automation in railways, with a focus on studies involving railway operators such as train drivers and traffic controllers. We explored six databases and solicited expert recommendations, identifying 65 relevant studies published since 2000. Studies were categorized based on methodology and analysed to identify key themes, measures, and research priorities. The review revealed five main types of studies: empirical simulations (32%), non-simulation studies (25%), literature reviews (8%), analysis of existing technologies (31%), and new technologies (20%). Key research priorities included assessing the impact of automation on operator performance, workload, and situational awareness. Human-in-the-loop simulations emerged as a crucial method for evaluating new automated systems. Nevertheless, gaps emerged, e.g., studies focus mainly on drivers, use small sample sizes, and pay little attention to operators’ communications.
Link to supplementary material: https://osf.io/3sxw7/files/osfstorage

Recommended citation: Kusumastuti, S. A., Kolkman, T. H., Lo, J. C., & Borsci, S. (2025). Charting the landscape of rail human factors and automation: A systematic scoping review. Transportation Research Interdisciplinary Perspectives, 30, 101350.