In order to process multitasking driver behavior effectively, an improved driver cognitive behavior modeling method of ACT-R is proposed in this paper. The manual and visual modules of ACT-R are concatenated directly to cope with human subconscious/unconscious behavior. A parallel processing method is also proposed to mimic the parallel reaction style of a given cerebral area of human brain's r...

human driver or control the vehicle autonomously, they usually must make these decisions in real time with only incomplete information. So, human drivers still must maintain control over the vehicle. Advanced in-vehicle information systems (IVISs) endow vehicles with different types and levels of intelligence to complement the driver.2 Their introduction has allowed an almost symbiotic relation...

Driver behavior plays an important role in modeling vehicle dynamics in a traffic simulation environment. To study one element of the general driver behavior, that of car following, an advanced instrumented vehicle has been applied in dynamic data collection in real traffic flow on Swedish roads. This paper briefly introduces our car following data collection and smoothing methods. Moreover, we...

Little is known about how well models of driver crash risks from the developed world apply to motoring in African low and middle income countries. The Manchester Driver Behaviour Questionnaire (DBQ; Reason et al., 1990), which distinguishes deliberate violations accepted safety practices unintentional errors its measurement risky driving has been demonstrated measure liability across a range cu...

This paper presents an integrated human driver model for a closed-loop simulation of the intelligent safety system. A lateral human driver model was developed to represent the steering behavior of a human driver using the finite preview optimal control method. A longitudinal human driver model represents a human driver’s throttle and brake control behavior relative to the preceding vehicle moti...

BACKGROUND Cataract is an extremely common visual condition of ageing. Evidence suggests that visual impairment influences driving patterns and self-regulatory behavior among older drivers. However, little is known about the psychological effects of driver self-regulation among older drivers. Therefore, this study aimed to describe driver self-regulation practices among older bilateral cataract...

Urban traffic flow is a complex system. Behavior of an individual driver can have butterfly effect which can become root cause of an emergent phenomenon such as congestion or accident. Interaction of drivers with each other and the surrounding environment forms the dynamics of traffic flow. Hence global effects of traffic flow depend upon the behavior of each individual driver. Due to several a...

The authors present a cyber-physical systems study on the estimation of driver behavior in autonomous vehicles and vehicle safety systems. Extending upon previous work, the approach described is suitable for the long term estimation and tracking of autonomous vehicle behavior. The proposed system makes use of a previously defined Hybrid State System and Hidden Markov Model (HSS+HMM) system whic...