Aggressive driving behavior (ADB) is a major cause of traffic accidents. As ADB controllable, ADB-based risk assessment an effective method for drivers and transportation companies to ensure safety. Conventionally, the relationships between ADBs accident-related records are analyzed when assessing risk. However, such typically overlook driver responsibility risks depend considerably on person p...

background: the aim of this study was to evaluate the effect of variables such as personality traits, driving behavior and mental illness on road traffic accidents among the drivers with accidents and those without road crash. methods: in this cohort study, 800 bus and truck drivers were recruited. participants were selected among drivers who referred to imam sajjad hospital (tehran, iran) duri...

Although fear and travel avoidance among anxious drivers are well documented, relatively little is known about the behavior of anxious individuals who continue to drive. Previous research has identified three broad domains of anxious driving behavior: exaggerated safety/caution behaviors, anxiety-based performance deficits, and hostile/aggressive driving behaviors. In an effort to explicate fac...

This special report, one of a series based on data from Florida traffic crash reports, presents a quantitative analysis of aggressive driving. Aggressive driving is a phenomenon, which has only recently raised public concern. The media coverage on safety of driving indicates that it is more hazardous today than it was three years ago, reflecting increasing concerns about aggressive driving beha...

Driving behavior modeling is of great importance for designing safe, smart, and personalized autonomous driving systems. In this paper, an internal reward function-based model that emulates the human’s decision-making mechanism utilized. To infer function parameters from naturalistic human data, we propose a structural assumption about focuses on discrete latent intentions. It converts continuo...