Design of a smart traffic light control system based on fuzzy cognitive maps

Abstract

In modern cities, there is an increase in the intensity of traffic flows and congestion, an increase in the level of accidents and a decrease in road safety. Traditional traffic light systems that operate on fixed cycles do not consider the dynamics of the traffic situation and are therefore often ineffective [1]. This highlights the need to create intelligent control systems that can adapt the duration of traffic light phases depending on real-time conditions, the presence of pedestrians, the appearance of emergency service cars and the presence of emergencies.