APPROACH TO TRAFFIC MANAGEMENT BASED ON THE IEC 61499 STANDARD
Abstract
The number of vehicles on public roads is constantly increasing, and the development of road infrastructure is proceeding at a slow pace, and not high-quality transport management entails an increase in transportation costs, an increase in accidents, noise levels, and environmental pollution. As a consequence, there is a need to apply advanced algorithms and approaches to transport management in order to maximize the use of the existing road network and increase road capacity. In the course of recent studies, it has been revealed that adaptive approaches to traffic management are most effective on sections of the road network with high traffic intensity and variability. The essence of the approaches to adaptive management used today is that they are based on the analysis of traffic congestion and change the phases of traffic light operation depending on the received data in real time .. Adaptive traffic management shows much better results compared to tight control , significantly reduces transport delays, travel time and emissions of harmful substances into the atmosphere, therefore, modern researchers are developing new and improving existing approaches and algorithms for adaptive transport control. For example, traffic management approaches based on the concept of IoT and the use of cloud computing are actively developing. The concepts of applying the agent-based approach to adaptive control are also being developed. The paper proposes a method for managing traffic flows and automating road infrastructure using an agent-based approach. The proposed approach includes distributed management of various elements of the road network and their direct interconnection with each other. To implement this concept, the open standard of distributed control and automation systems IEC 61499 was used, and to test the feasibility of implementation, several models of traffic intersections were used, one of which was created on the basis of real data and SUMO - a microscopic and continuous traffic simulation package.








