The aim of the work is to improve the efficiency of traffic flow management based on the research and development of information technologies for complex mathematical modeling of the city's transport systems using the theory of S-hypernetworks.
To achieve the set goal, the following tasks must be solved.
1. To conduct an analysis of modern computer technologies for designing and managing complex transport networks.
2. Develop a model of the information system for managing traffic flows to improve the efficiency of the city's transport network.
3. Investigate methods of building computer networks for deploying monitoring systems for city traffic flows.
4. Increase the efficiency of the information systems for managing traffic flows.
5. Conduct a computational experiment based on simulation to verify the effectiveness of the research results.
The main scientific and practical results of the work are as follows:
1 An information system model was developed, the scientific novelty of which is that it is based on the management of traffic flows based on the theory of S-hypernetworks, which made it possible to increase the efficiency of the city's transport network.
2 The method of building a computer network has been improved, which, unlike the existing ones, allows to minimize the number of video camera placement points on a given territory due to the use of approximate algorithms.
3 A methodology for managing the functioning of information systems for managing traffic flows has been developed, the scientific novelty of which is that it is based on fuzzy logic and allows to improve the management of the information system of the transport network, due to the reduction of the flow time at the intersection.
The correctness of the FreeRoad algorithm has been proven. The resulting algorithms were implemented in the JavaScript programming language. Since the FreeRoad algorithm analyzes only the transport network for the passage of the flow and the detection of traffic jams, in the event that the flow cannot pass, in order to obtain a result that reflects the real state of the roads, when solving related problems, this module should be used in iterative interaction with other .
Keywords: fuzzy logic, S-hypernetworks, routing problems, network, information system object, optimality principle, nonlinear dynamics, computer modeling, graph theory, algorithm, information technologies, sensors, information systems, software, computer networks .
