Driving is a daily activity throughout the world. However, driving at highways or city requires significant cognitive and motor skills such as visual-spatial ability, memory and information processing and rapid reaction. Recent studies show lack of driver alertness to be a major cause of automobile accidents on roadways across the world. The perceived state of alertness is a complex physiologic...

Automobile industry in Taiwan has the characteristics of capital and technology intensive, strong operation management capability, close relationship supply chain and has played a critical role in the international market. Since there are hundreds of the first-tier suppliers and thousands of the second-tier suppliers, this leads automobile industry to be one of the most important industries in ...

This paper investigates the incentive effects of automobile insurance, compulsory insurance laws, and no-fault liability laws on driver behavior and traffic fatalities. We analyze a panel of 50 U.S. states and the District of Columbia for 1970–98, a period in which many states adopted compulsory insurance regulations and/or nofault laws. Using an instrumental variables approach, we find evidenc...

Driver fatigue is a popular problem which has attracted people’s views. Many research departments are researching driver fatigue detection in order to improve the traffic safety. This paper presented a driver fatigue detection system based on DM3730. The system calculated the inter-image difference between frames captured by near-infrared light irradiation, which included identification of the ...

The goal of this work is the detection and classification of driver activities in an automobile using computer vision. To this end, this paper presents a novel two-step classification algorithm, namely, an unsupervised clustering algorithm for grouping the actions of a driver during a certain period of time, followed by a supervised activity classification algorithm. The main contribution of th...

We show how data collected from a GPS device can be incorporated in motor insurance ratemaking. The calculation of premium rates based upon driver behaviour represents an opportunity for the insurance sector. Our approach is based on count data regression models for frequency, where exposure is driven by the distance travelled and additional parameters that capture characteristics of automobile...

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...