Efficiency of Adaptive Traffic Signal Control in a Partially Connected Vehicle Environment

The emerging trend in the development of connected and autonomous vehicles provides new opportunities for solving practical problems in a transportation area, in particular, an adaptive traffic signal control problem, which is considered in this paper. The aim of the paper is to evaluate the performance of a traffic signal control algorithm in a partially connected vehicle environment with a mixed traffic flow, including both connected and human-driven vehicles. A control algorithm based on maximizing the weighted flow of vehicles, passing through an intersection in a specified time interval is explored. Experimental studies of the algorithm under various penetration rates of connected vehicles in a real-world traffic simulation scenario confirm the effectiveness of the considered approach.