ith the “graying of America,” the need for the appropriate assessment of driving performance in the elderly is increasing. Three general approaches may be taken: selfreport based on questionnaires, driving simulators, and driving monitors. Each approach has its own advantages and drawbacks. Self-report is subjective and of questionable reliability. Driving simulators provide strict control over...

The current practice for assessing driver competence performance is in-cab riding by driver managers. However, this paper investigates whether real-world driving data extracted from on-train monitoring recorders data (OTMR) can be used to assess the driver performance. A number of indicators were used to evaluate the drivers’ performance. These include: their use of the emergency bypass switch,...

Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...

In this paper, an energy efficient design of asymmetric high performance low swing CMOS driver receiver pair for driving global on-chip interconnects is proposed. The design is implemented on 90nm CMOS technology using HSPICE. The proposed CMOS driver receiver pair reduces the power by 35.45% as compared to the static driver with conventional level converter (CLC). The design is also compared w...

Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving data and application of computer models to generate a classification that characterizes the driver aggressiveness profile. Different sensors and clas...

Arguments for the importance of contextual factors in understanding human performance have been made extremely persuasively in the context of the process control industries. This paper puts these arguments into the context of the train driving task, drawing on an extensive analysis of driver performance with the Automatic Warning System (AWS). The paper summarises a number of constructs from ap...