Task complexity refers to the dynamic road and environmental conditions influencing driving, while coping capacity reflects a driver’s ability to manage these challenges. The aim of this work was to quantify the relationship between task complexity and coping capacity on crash risk. The fundamental challenge was to identify how explanatory variables of environment, vehicle and driver were correlated with speeding. For that purpose, data collected from an on-road and simulator driving experiment were analysed. Generalized Linear Models assessed correlations among variables, while Structural Equation Models explored latent variables. On-road results showed that increased task complexity correlated with higher crash risk. Conversely, simulator findings indicated that task complexity could reduce risk when drivers employed compensatory behaviors. Coping capacity consistently reduced crash risk across both settings. These insights underscore the importance of understanding driver behavior and task demand to develop effective safety interventions and reduce crash likelihood.
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