This book covers the different data types that can be collected and used for monitoring, analyzing and improving road safety. It provides a wide and up-to-date perspective on relevant safety data, broadening the horizons for the road safety experts and promoting a more knowledge-based approach to their work.
With growing cities, hectic schedules, and a mix of cars, bikes and pedestrian traffic, the risk of accidents is continuously rising. To avoid future crashes, sufficient data about past accidents is vital, to analyse the various causes and develop methods to avoid them going forward.
Besides the traditional accident records, there are many other data sources that can complement or replace the accident records. There can be significant limitations with available accident data, meaning finding alternative data sources is increasingly important. Having good quality data can help to improve affected streets and intersections, develop safe Intelligent Traffic Systems, and optimize automated features in vehicles.
This book covers the different data types that can be collected and used for monitoring, analyzing, and improving road safety, including chapters on accident records and modelling, healthcare data, self-reported data, insurance data, and more. The book also looks at automated driving safety, and the legal issues around collecting and using road safety data.
The editors believe the pro-active approach to safety in other transport modes, like air or railway transport, can and should also be considered in road traffic. This book provides a wide and up-to-date perspective on relevant safety data, helping to broaden the horizons for the road safety experts and also promote a more knowledge-based approach to road safety.
