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.
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