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Abstract Bicycle’s riders widely have group behaviors due to the bicycle’s features and the group behaviors may have significant impacts on bicycle flow (especially at a signalized intersection). In this paper, we propose a cellular automaton (CA) model to explore the impacts of shoulder group behavior and following group behavior of bicycles during the process that bicycles pass through a signalized intersection. In the proposed model, the acceleration/waiting phenomenon (caused by the two group behaviors at the intersection) is explicitly considered. The numerical results indicate that the proposed model can effectively reproduce the actions of group bicycles at the intersection and that the two group behaviors have prominent negative impacts on the operational efficiency of the intersection, which shows that the group behaviors should be controlled at the intersection. Highlights • Bicycle’s shoulder group behavior and following group behavior at a signalized intersection are defined. • Some rules are proposed to describe each bicycle’s motion under the two kinds of group behaviors. • The impacts of the two group behaviors on each bicycle’s motion and the operational efficiency are studied. [ABSTRACT FROM AUTHOR]

Recently, bicycle has become an important traffic tool in China, again. Due to the merits of bicycle, the group behavior widely exists in urban traffic system. However, little effort has been made to explore the impacts of the group behavior on bicycle flow. In this paper, we propose a CA (cellular automaton) model with group behavior to explore the complex traffic phenomena caused by shoulder group behavior and following group behavior on an open road. The numerical results illustrate that the proposed model can qualitatively describe the impacts of the two kinds of group behaviors on bicycle flow and that the effects are related to the mode and size of group behaviors. The results can help us to better understand the impacts of the bicycle’s group behaviors on urban traffic system and effectively control the bicycle’s group behavior. [ABSTRACT FROM AUTHOR]

Abstract Electric bicycle (EB) has been one popular traffic tool in urban traffic system, but it has some disorder motion behaviors at a signalized intersection. In this paper, we propose a strategy to control each EB’s motion at a signalized intersection, and design some rules to explore each EB’s motion and the impacts of the proposed strategy on each EB’s motion at the signalized intersection. The numerical results indicate that the proposed strategy can enhance the operational efficiency at the signalized intersection. The results can help administrator to better manage the EB’s motion at the signalized intersection. Highlights • A strategy for EB flow is proposed. • EB’s motion rules under the proposed strategy are designed. • The effects of the proposed strategy on each EB’s motion studied. [ABSTRACT FROM AUTHOR]

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). [ABSTRACT FROM AUTHOR]