Research on cyclists microscopic behaviour models at signalized intersection

In this paper, video cameras and data analysis technologies have been used to collect and analyze image data of bicyclists at two signalized intersections in Beijing. Statistical analysis and nonlinear regression methods were conducted to develop a new simulation model to represent the behavior of cyclists. Various characteristics and behaviors of cyclists including speed distribution, acceleration of bicycle departing an intersection and deceleration of bicycle approaching an intersection and stopped distance of bicycles at signalized intersection have been studied. The results are useful for understanding the performance of bicycle traffic flow at signalized intersections. The simulation techniques, which consider bicyclist characteristics, has a strong application value, such as to estimate the capacity of signalized intersection for bicycle traffic and to build microscopic simulation models for mixed traffic