reviews in many countries indicate that drivers often talk on mobile (cell) phones. studies have been done on possible effects of concurrent mobile phone use on driving performance. previous studies have found that phone talking could impairs performance on simulated or instrumented driving tasks, using such measures as reaction time, following distance, and situational awareness. most of these...

Driver distraction has become a major concern for transportation safety due to increasing use of infotainment systems in vehicles. To reduce safety risks, it is crucial to understand how fundamental aspects of distracting activities affect driver behavior at different levels of vehicle control. This study used a simulator-based experiment to assess the effects of visual, cognitive and simultane...

Single-vehicle roadway departure (SVRD) accidents occur in many cases owing to driver distraction or drowsiness constituting a substantial share of today’s road vehicle accidents and casualties. This paper describes a distraction-based lane-keeping support system, which intervenes only when the driver is positively detected as being distracted. Distraction here is understood as cognitive and vi...

Every year, many car accidents due to driver fatigue and distraction occur around the world and cause many casualties and injuries. Driver face monitoring systems is one of the main approaches for driver fatigue or distraction detection and accident prevention. Driver face monitoring systems capture the images from driver face and extract the symptoms of fatigue and distraction from eyes, mouth...

The increasing use of in-vehicle information systems (IVISs), such as navigation devices and MP3 players, can jeopardize safety by introducing distraction into driving. One way to address this problem is to develop distraction mitigation systems, which adapt IVIS functions according to driver state. In such a system, correctly identifying driver distraction is critical, which is the focus of th...

Driver cognitive distraction is a hazard state, which can easily lead to traffic accidents. This study focuses on detecting the driver cognitive distraction state based on driving performance measures. Characteristic parameters could be directly extracted from Controller Area NetworkCANBus data, without depending on other sensors, which improves real-time and robustness performance. Three cogni...

Driver distraction contributes to approximately 43% of motor-vehicle crashes and 27% of near-crashes. Rapidly developing in-vehicle technology and electronic devices place additional demands on drivers, which might lead to distraction and diminished capacity to perform driving tasks. This situation threatens safe driving. Technology that can detect and mitigate distraction by alerting drivers c...

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...

It has been pointed that most of the accidents on the roads are caused by driver faults, inattention and low performance. Therefore, future active safety systems are required to be aware of the driver status to be able to have preventative features. This probe study gives a system structure depending on multi-channel signal processing for three modules: Driver Identification, Route Recognition ...

Driver distraction is a high priority topic for NHTSA. NHTSA has concerns that drivers are making potentially dangerous decisions about when to interact with in-vehicle technologies while driving and that this trend may accelerate as new technologies become increasingly available and easier to use. NHTSA has conducted research in the area of driver distraction and workload since 1991. The objec...