Research on driver behaviour has clearly demonstrated that the goals and motivations a driver brings to the driving task are important determinants for driver behaviour. The objective of the book, and of the conference on which it is based, is to describe and discuss recent advances in the study of driving behaviour and driver training. It bridges the gap between practitioners in road safety, and theoreticians investigating driving behaviour, from a number of different perspectives and related disciplines. The book is timely in its aim of defining new approaches to driver training methodology based on decades of empirical research on driver behaviour. The contributing road safety researchers and professionals consider the kinds of methods that are effective in teaching drivers the higher-level skills needed to be a safe competent driver. The readership includes road safety researchers from a variety of different academic backgrounds, senior practitioners in the field from regulatory authorities and professional driver training organisations such as the police service, and private and public sector personnel who are concerned with improving road safety.

In-Vehicle Corpus and Signal Processing for Driver Behavior is comprised of expanded papers from the third biennial DSPinCARS held in Istanbul in June 2007. The goal is to bring together scholars working on the latest techniques, standards, and emerging deployment on this central field of living at the age of wireless communications, smart vehicles, and human-machine-assisted safer and comfortable driving. Topics covered in this book include: improved vehicle safety; safe driver assistance systems; smart vehicles; wireless LAN-based vehicular location information processing; EEG emotion recognition systems; and new methods for predicting driving actions using driving signals. In-Vehicle Corpus and Signal Processing for Driver Behavior is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms.