A paper titled “Implementation of an integrated model for understanding the impact of task complexity and coping capacity on crash risk” authored by Eva Michelaraki and George Yannis has been published in Accident Analysis & Prevention. This Study aims to identify the interaction of road, vehicle and driver-related factors to the estimation of task complexity, coping capacity and risk. To this end, data from a naturalistic driving experiment involving 135 drivers and 31,954 trips collected over a four-month period were analysed across experimental phases incorporating real-time and post-trip interventions. The results showed that environmental factors, including time of day, weather, distance and duration, were positively associated with task complexity and increased crash risk. Driver-related and vehicle-related state factors influenced coping capacity, which was generally negatively associated with risk. Overall, the Paper highlights the potential of data-driven interventions to improve road safety and support more effective driver assistance systems.