Driver distraction is caused by a competing activity and leads to unsafe driving. Mental workload changes with task demands and influences performance. Though distraction and mental workload are strongly related, they are not the same. Performance motivation and task engagement influence performance and consequently distraction but not workload; environment complexity and driver state influence...

Introduction: Driving is a complex and dynamic task that requires performing simultaneously several sub-tasks, as traffic management and vehicle control. Driving involves both automatic and controlled processing depending on situation met and drivers’ experience. Method: Three groups of drivers with different driving experience were submitted to a divided-attention task in order to assess the i...

This paper presents the simulation tool called SSDRIVE (Simple Simulation of Driver performance). Following a brief description of the theoretical background and basic algorithms that describe the performance of drivers, the paper presents two case studies of DVE interactions, predicting dynamic situations according to different driver attitudes, in similar traffic conditions. In this way the p...

Virtualization allows multiple systems encapsulated in socalled domains to share completely isolated from each other a single physical machine. Several companies are already taking advantage of virtualization technology in order to sell a certain amount of CPU speed and I/O capacity in terms of latency and throughput on demand to their customers. Providers of such a service face the challenge o...

With an increasing usage of in-vehicle systems, drivers have to frequently perceive and respond to the messages from these in-vehicle systems. And previous studies have found that interval between the messages (arrival rate) presented to a driver becomes one of factors affecting driver workload. To reduce driver workload, researchers in adaptive workload management system (Wu et al., 2008) have...

Although there is currently significant development in active vehicle safety (AVS) systems, the number of accidents, injury severity levels and fatalities has not reduced. In fact, human error, low performance, drowsiness and distraction may account for a majority in all the accident causation. Active safety systems are unaware of the context and driver status, so these systems cannot improve t...

The quantitative measurement of driver behavior has been central to much of the systematic research underlying highway safety issues during the past forty years. It has contributed to the way in which we design roads, vehicles, training programs, signs and markings, and intelligent transportation systems. Yet the methods we use to conduct driver behavior experiments may result in a disconnect w...

The characterization of human drivers’ performance is of great significance for highway design, driver state monitoring, and the development of automotive active safety systems. Many earlier studies are restricted by experimental scope, the number and diversity of human subjects, and the accuracy and extent of measured variables. In this work, driver lateral control performance on limited-acces...