Modeling electric bicycle's abnormal behavior at a signalized intersection

Recently, electric bicycle (EB) has been an important traffic tool in China. However, EB has some abnormal behaviors (e.g., retrograde, red-light running) in urban traffic system due to its own merits. Little effort has been made to explore the EB's abnormal behaviors. In this paper, we propose a cellular automaton (CA) model to explore the effects of the EB's abnormal behaviors on the operational efficiency at a signalized intersection. The numerical results indicate that the EB's abnormal behaviors have prominent negative impacts on the operational efficiency at a signalized intersection (i.e., the two behaviors will reduce the operational efficiency) and that the impacts are dependent on the proportion of the EBs with the two abnormal behaviors. The results can help us better manage the EB's behaviors (especially at a signalized intersection).