Impacts of group behavior on bicycle flow at a signalized intersection

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.