Driver fatigue has been identified as a human factor causing major road safety problems in crash occurrence. The objective of this paper is to present the key findings on road user safety attitudes towards driver fatigue as identified by the second edition of the ESRA survey. Data from more than 35,000 road users in 32 countries were collected through an extensive online panel questionnaire survey concerning the opinion of participants on several aspects of road behaviour. The questions on fatigue concern the personal acceptability of fatigued driving, the perception of fatigued driving as crash cause and self-declared fatigued driving in the past 30 days. These variables and their interrelationships were further analysed via Random Forest analyses and binary logistic regression models. The results of this paper reveal the public attitudes and perceptions concerning driver fatigue; in addition, some solutions on preventing driver fatigue and mitigating its effects are discussed.
|Tags||driver behaviour, field surveys, international comparisons, machine learning, statistical modelling|