This paper describes recent advances in the analysis and classification of driver behavior in actual driving scenarios. We employ data obtained from the UTDrive corpus to model driving behavior and to detect if distraction due to secondary tasks is present. Hidden Markov Models (HMMs) are used to capture the sequence of driving characteristics acquired from the vehicle’s CAN-Bus (Controller Are...

Driving support and cruise assist systems are of growing importance in achieving both road traffic safety and convenience. Such driver support seeks to achieve, with the highest possible quality, nothing less than “driver-vehicle symbiosis under all conditions.” At the same time, many traffic accidents result from improper driver behavior. The author focuses on driver behavior under various dri...

Current standards in microscopic modeling lack the ability to address certain traffic scenarios, the ability to capture discrete differences in driver behavior that exist between various driving populations, and are structured in such a fashion that various vehicle movements are predicted and modeled separately. In this study, effect of social traffic behavior on rate of traffic violation of ...

Work-related driving safety is an emerging concern for Australian and overseas organisations. Research has shown that road crashes are the most common cause of work-related fatalities, injuries and absences from work. This study’s objectives were to identify driver characteristics which pose potential risks to work-related driving safety within the organisation, as well as determining the value...

This research is focused on driver behavior in traffic, especially during car-following situations and safety critical events. Driving behavior is considered as a human decision process in this research which provides opportunities for an artificial driver agent simulator to learn according to naturalistic driving data. This thesis presents two mechine learning methodologies that can be applied...

The driver gap acceptance and rejection behavior during mandatory lane changes on a multilane freeway are analyzed in this paper. Gaps are accepted or rejected based on comparison with a minimum value generally defined as the critical gaps. Critical gaps are estimated based on the accepted and rejected gaps observed in the field. Driver behavior can be classified as consistent or inconsistent o...

Increasing vehicle popularity and, in the meantime, traffic accidents, is one of the most important death factors these days. Many policies have been implemented to decrease accident injuries and damages, and to increase safety. Between three effective factors in accidents, including human, vehicle, and road, human factor is known as the most important one. Human behavior during driving is deri...

This paper argues that the driving task exhibits the properties of complex systems. Driving behavior emerges from the intricate and complex interactions between the driver, the vehicle and the environment. An emerging driving behavior could not necessary be linearly predicted. However a context-aware system could assist the driver in augmenting the probability of undertaking safe behavior. Unli...

This study uses the two-fluid model for traffic flow, to examine driver behavior during both wet and dry pavement conditions and various times of the day. It was found that parameters in the two-fluid model known to be strongly affected by driver behavior (particularly driver aggressiveness) were statistically different between wet pavement and dry pavement conditions. The results confirmed tha...