Research on Traffic Breakdown Phenomenon at Signalized Intersection Based on Cellular Automata

The phenomenon of traffic breakdown is considered to be the transition from undersaturated traffic to oversaturated traffic. The periodicity of signal light has a significant impact on traffic state, while the phenomenon of traffic breakdown is less studied in signal intersection. In this paper, we propose a model based on cellular automata to study the traffic breakdown phenomenon of undersaturated traffic at signal intersection. Taking road flow and red-light time as independent variables, the instability of traffic will lead to traffic breakdown of undersaturated traffic under certain conditions of road flow and red-light time. The occurrence of traffic breakdown is random, delayed and probabilistic. In addition, we also studied the influence of red-light time, road flow and signal light position on road vehicle density. Under the condition of fixed signal light position and road flow, road vehicle density shows a trend of specific function as red-light time increases.