With the increasing popularity of electric-assist bikes (E-bikes) in China, U.S. and Europe, the
corresponding safety issues at intersections have attracted the attention of researchers. Understanding
the microscopic behavior of E-bike riders during conflicts with other road users is fundamental for safety
improvement and simulation modeling of E-bikes at intersections. This study compared the conflict avoidance behaviors of E-bike and conventional bicycle riders using field data extracted from video recordings
of different intersections. The impact of conflicting road user type and gender on E-bikes and bicycles
were analyzed. Compared with bicycles, E-bikes appeared to enable more flexibility in conflict avoidance behavior. For example, E-bikes would behave like bicycles when conflicting with motor vehicles/Ebikes, and behave more like motor vehicles when conflicting with bicycles/pedestrians. Based on this, we
built an Extended Cyclist Conflict Avoidance Movement (ECCAM) model, which can represent the conflict
avoidance behavior of E-bikes/bicycles at mixed traffic flow un-signalized intersections. Field data were
applied to validate the proposed model, and the results are promising
