Several control systems in safety-critical applications involve the interaction of an autonomous controller with one or more human operators. Examples include pilots interacting with an autopilot system in an aircraft, and a driver interacting with automated driver-assistance features in an automobile. The correctness of such systems depends not only on the autonomous controller, but also on th...

Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...

The Intelligent Driver Model was introduced in 2000 by M. Treiber et al. as a mathematical car following model for traffic micro- simulation. It is an obvious question whether this applicable physical vehicle simulator, which would be big step forward real application. Of course, it also essential that the can applied to description of conditions - thus take into account speed-density relations...

Accurate classification of eye state is a prerequisite for preventing automobile accidents due to driver drowsiness. Previous methods of classification, based on features extracted for a single eye, are vulnerable to eye localization errors and visual obstructions, and most use a fixed threshold for classification, irrespective of variations in the driver’s eye shape and texture. To address the...

UNLABELLED This study was aimed to assess, using vignettes, the impact of a hypothetical 'designated driver' (DD) initiative on level of intended alcohol consumption. A secondary aim was to assess whether using any form of transport where someone else drove was associated with level of intended consumption. A total of 390 individual sports club members from 72 clubs in New South Wales, Australi...

The rapid development of the automobile industry has resulted in many vehicles, increased traffic, and frequent accidents. complexity road conditions is a major contributor to occurrence traffic Drivers are distracted hence unable fully observe all information make optimal timely driving decisions. This study proposes an auxiliary steering control system with force/tactile guidance (ASCFT) its ...

Oakland University and the University of Michigan-Dearborn in collaboration with a team of suppliers under the leadership of Collins & Aikman have developed a fixed based driving simulator for optimizing automotive interior and interface design. The driving simulator, or Advanced Cockpit Enabler (ACE) has the capability for quick evaluation of early prototypes of driver interfaces, by exposing ...

To improve the safety and comfort of a human-machine system, the machine needs to ‘know,’ in a real time manner, the human operator in the system. The machine’s assistance to the human can be fine tuned if the machine is able to sense the human’s state and intent. Related to this point, this paper discusses issues of human trust in automation, automation surprises, responsibility and authority....