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Full Description
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.
Contents
Chapter 1: Section bicycle individual riding characteristics
Chapter 2: Microscopic bicycle microscopic riding characteristics
Chapter 3: Bicycle microscopic behavioural characteristics at signalized intersections
Chapter 4: Cyclists' crossing behaviour model at signalized intersection
Chapter 5: Bicycle microscopic behaviour analysis patterns
Chapter 6: Analysis of bicycle microscopic behaviour at un-signalized intersections
Chapter 7: Microscopic behaviour model of bicycle crossing un-signalized intersections
Chapter 8: Empirical analysis of bicycle microscopic behaviour model
Chapter 9: Confirmation of validity of bicycle microscopic behaviour model
Chapter 10: Neural network-based bicycle collision avoidance behavioural model at un-signalized intersections