An Analysis on the Impact of Autonomous Vehicle Mixture on Capacity of Signalized Intersections

Abstract

In recent years, driving support systems have begun to be installed in the real field, and expectations for improvement in safety and efficiency by autonomous vehicles are increasing. However, these expectations are not necessarily realized at the stage of popularization of autonomous vehicles. Particularly, at signalized intersections, because vehicles interact with each other in a complicated manner, efficiency may be affected depending on the setting of the behavior parameters of autonomous vehicles. Thus, this paper analyzes the influence of setting of parameters of autonomous vehicles on capacity of through lanes at signalized intersections by using simulation and model equation, and the capacity is calculated by using simulation result considering parameter settings and mixture ratio. As a result, while it became clear that the cycle length can be shortened by spreading of autonomous vehicles, it is suggested that by inputting discreet setting of the parameters of autonomous vehicles, the efficiency may decrease.