Адаптивные системы управления объектами транспортной инфраструктуры

Abstract

The paper considers a road network control model with the choice of an algorithm for adaptive control systems. Determining a more effective solution to the problem of driving vehicles at an intersection with reduced waiting time is one of the main features. In this regard, the use of a fuzzy control model in a traffic light object strengthens the capacity of the intersection. The implementation of fuzzy logic has great prospects in the field of fuzzy control of complex technical systems. Despite the research conducted in the field of modeling and optimization of traffic flows, many applications of fuzzy logic in road design are still under development and can often be used to determine traffic light signals. Adaptive con-trol systems were developed in accordance with six parameters: the number of vehicles, traffic intensity, the coefficient of adhesion of car tires to the road surface, the speed of traffic on the road for cars, road lanes and the number of pedestrians. In the presence of these sixth parameters, in the fuzzy control of signal synchronization using the Mamdani output mechanism, an output rule can be established, according to which a decision will be made to change the green phase in the next cycle.