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.
General
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