In the road safety statistics we can find a big group of accidents that happened because the driver didn?t pay attention to driving. The car manufacturers are developing many new electronic assistance systems and their task is also to support driver?s attention. One of these systems is the system for keeping the traffic lane. It has to keep a car in the lane, while watching the marking on the road, when driver doesn?t enough pay attention to driving. This work wants to evaluate this system and its benefit for traffic safety. This will be made through real traffic accidents research. The target is to say, if widening of the system in new cars would reduce the number of traffic accidents or their consequences.
Revision with unchanged content. Driving behavior models, which focus on acceleration, lane changing and gap acceptance decisions are essential to microscopic traffic simulation models and important to several other fields of transportation science and engineering. In this book, a framework for driving behavior modeling that integrates the various decisions driver make is developed, implemented and tested. This framework is based on the concepts of short-term goal and short-term plan, which captures inter-dependencies among the various decisions a driver makes as well as their planning and anticipation capabilities. Based on these concepts an integrated driving behavior model that captures both acceleration and lane changing behaviors is specified, estimated using detailed trajectory data and implemented and validated within a microscopic traffic simulation model. This book is addressed to modelers in transportation and traffic engineering and researchers and developers of traffic simulation models.