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It is estimated that, in the United States, around 20 percent of all Police-reported road crashes involve driver distraction as a contributing factor. This figure increases if other forms of inattention are considered. Evidence (reviewed in this volume) suggests that the situation is similar in other countries and that driver distraction and inattention are even more dangerous as contributing factors in crashes than drug and alcohol intoxication. Having a solid evidence-base from which to develop injury countermeasures is a cornerstone of road-safety management. This book adds to the accumulating evidence-base on driver distraction and inattention. With 24 chapters by 52 authors from more than 10 countries, it provides important new perspectives on the definition and meaning of driver distraction and inattention, the mechanisms that characterize them, the measurement of their effects, strategies for mitigating their effects, and recommendations for further research. The goal of this book is to inspire further research and countermeasure development to prevent and mitigate the potentially adverse effects of driver distraction and driver inattention, and, in doing so, to save lives.
Certain activities and events both inside and outside a vehicle can distract drivers and lead to degraded performance. New technologies- such as entertainment, communication, and driver assistance systems- play a significant role in distraction. This unique volume defines driver distraction, discusses various causes, and explains how to measure acceptable and unacceptable levels of distraction. Several chapters address measurement techniques based on performance and epidemiological studies. Most importantly, the text explores ways to mitigate driver distraction as well as countermeasures including vehicle design and effective legislation.
Distracted driving is a behaviour dangerous to drivers, passengers, and non-occupants alike. Distraction is a specific type of inattention that occurs when drivers divert their attention from the driving task to focus on some other activity instead. This book examines data gathered on specific distracting activities to support the development of safety countermeasures and to conduct improved data analysis.
It is estimated that, in the United States, around 20 percent of all Police-reported road crashes involve driver distraction as a contributing factor. This figure increases if other forms of inattention are considered. Evidence (reviewed in this volume) suggests that the situation is similar in other countries and that driver distraction and inattention are even more dangerous as contributing factors in crashes than drug and alcohol intoxication. Having a solid evidence-base from which to develop injury countermeasures is a cornerstone of road-safety management. This book adds to the accumulating evidence-base on driver distraction and inattention. With 24 chapters by 52 authors from more than 10 countries, it provides important new perspectives on the definition and meaning of driver distraction and inattention, the mechanisms that characterize them, the measurement of their effects, strategies for mitigating their effects, and recommendations for further research. The goal of this book is to inspire further research and countermeasure development to prevent and mitigate the potentially adverse effects of driver distraction and driver inattention, and, in doing so, to save lives.
This comprehensive 2nd edition covers the key issues that relate human behavior to traffic safety. In particular it covers the increasing roles that pedestrians and cyclists have in the traffic system; the role of infotainment in driver distraction; and the increasing role of driver assistance systems in changing the driver-vehicle interaction.
Driver inattention has been identified as one of the leading causes for car accidents. The problem of distraction while driving is likely to worsen, partly due to increasingly complex in-car technologies. However, intelligent transport systems are being developed to assist drivers and to ensure a safe road environment. One approach to the design of ergonomic automobile systems is to integrate our understanding of the human information processing systems into the design process. This book aims to further the design of ergonomic multisensory interfaces using research from the fast-growing field of cognitive neuroscience. It focuses on two aspects of driver information-processing in particular: multisensory interactions and the spatial distribution of attention in driving. The Multisensory Driver provides interface design guidelines together with a detailed review of current cognitive neuroscience and behavioural research in multisensory human perception, which will help the development of ergonomic interfaces. The discussion on spatial attention is particularly relevant for car interface designers, but it will also appeal to cognitive psychologists interested in spatial attention and the applications of these theoretical research findings. Giving a detailed description of a cohesive series of psychophysical experiments on multisensory warning signals, conducted in both laboratory and simulator settings, this book provides an approach for those in the engineering discipline who wish to test their systems with human observers.
This book, the first full-length text on the subject, explores the everyday use of music listening while driving a car. It presents the relationship between cars and music in an effort to understand how music behaviour in the car can either enhance driver safety or place the driver at increased risk of accidents. A great deal of work has been done to investigate and reduce driver distraction and inattention, but this book is the first to focus on in-cabin aural backgrounds of music as a contributing factor to human error and traffic violations. Driving With Music begins by outlining the automobile, its relationship to society, and the juxtaposition of music with the automobile as a complete package. It then highlights concepts from the fields of music perception and cognition, and, within this framework, looks at the functional use of background music in our everyday lives. Driver music behaviours - both adaptive and maladaptive - are explored, with the focus on contradictions and ill-effects of in-car music listening. To conclude, implications, applications and countermeasures are suggested.
Traffic psychology is a rapidly expanding and broad field within applied psychology with a considerable volume of research activities and a growing network of academic strands of enquiry. The discipline primarily focuses on the behaviour of road users and the psychological processes underlying these behaviours, looking at issues such as cognition, distraction, fatigue, personality and social aspects, often delivering practical applications and educational interventions. Traffic psychology has been the focus of research for almost as long as the motor car has been in existence and was first recognised as a discipline in 1990 when the International Association of Applied Psychology formed Division 13: Traffic and Transportation Psychology. The benefits of understanding traffic psychology are being increasingly recognised by a whole host of organisations keen to improve road safety or minimise health and safety risks when travelling in vehicles. The objective of this volume is to describe and discuss recent advances in the study of traffic psychology, with a major focus on how the field contributes to the understanding of at-risk road-user behaviour. The intended readerships include road-safety researchers from a variety of different academic backgrounds, senior practitioners in the field including regulatory authorities, the private and public sector personnel, and vehicle manufacturers concerned with improving road safety.
This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems. While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.
This book increases the level of knowledge on road safety contexts, issues and challenges; shares what can currently be done to address the variety of issues; and points to what needs to be done to make further gains in road safety.