Cycling is an important part of the urban transport system and short-distance travel in many modern cities around the world. With no emissions and occupying much less road space than cars, bikes are clean and sustainable. Bicycle traffic needs to be tracked and analysed in order to generate reliable predictions and make correct decisions when adapting and building traffic infrastructure, to account for bikes in road traffic systems, and to model and plan interactions between bikes and autonomous vehicles.
Offering a systematic analysis of the movements and behaviours of bicycles and their riders, this book discusses data collection and evaluation approaches, and the development of a framework for the theory and modelling of bike traffic followed by model verification techniques and riding characteristics for context.
This book contains valuable information for researchers involved with intelligent transportation systems, traffic modelling and simulation, and particularly those with an especial interest in bicycle traffic. The book will also be of interest to advanced students in these and related fields, and transportation policymakers.

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