Max-Pressure Traffic Signal Control for Mixed Traffic Flow based on Capacity Estimation

Abstract

Intersection control plays a vital role in addressing the issue of transportation efficiency in urban areas. Connected and Automated Vehicle (CAV) technology enable instant traffic information to be shared through vehicular networks, which emerges as a promising way to save vehicle travelling time and improve intersection capacity. Meanwhile, with the development of CAVs, the mixed traffic environment composed of traffic participants with differing intelligent levels will become a long term important stage of the intelligent transportation system. Considering the changes in the mixed traffic environment, this paper proposed a modified max-pressure traffic signal control method for mixed traffic environment to improve traffic efficiency. The real time traffic penetration rate is considered in the calculation of the saturation flow rate. And the pressure in the max-pressure also depends on the traffic penetration rate. By comparing the proposed MPMF method with the classic max-pressure control and exiting fixed time control method, the proposed MPMF method can effectively improve the performance of intersections and be suitable for multi-intersections road network.