A general modeling framework for bicycle traffic simulation is proposed.
Cycling trajectory data is collected by a group of recruited daily commuters, and the data is processed to enhance it quality.
Cyclist acceleration model is proposed and estimated using maximum likelihood approach.
The model and its variation are compared by validation, and the social economic aspects of the cyclists are analyzed.