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.

• 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