ADAPTIVE TRAFFIC MANAGEMENT IN CITIES

Abstract

Introduction. Traffic management has become a critical issue for large cities due to the continuous increase in the number of vehicles. As the transport network remains unchanged, the frequency of road congestion rises, adversely affecting the reliability of travel and metrics for social and environmental safety. Thus, there is a need for innovative technological solutions that hold both scientific and practical value. Purpose. This article is dedicated to developing adaptive traffic flow management in specific city network areas to ensure sustainable vehicle movement by coordinating optimal traffic light cycles at intersections. Results. The study provides a description of a traffic management framework in urban areas that implements a multi-level hierarchical control principle across corresponding levels – local, tactical, strategic, and decision-making. Functional models are established to facilitate adaptive management, accounting for changes in network capacity from its normative value to the actual capacity. Control functions at the respective levels are carried out by road controllers and regulatory technical devices. Adaptive management involves defining control effects on the traffic flow according to real-time conditions, including traffic light cycle duration at intersections in a designated area and traffic flow speed on the road segments. An informational model of the traffic network zone has been developed in the form of a graph, incorporating models of intersections and road segments, distribution matrices of traffic flow intensity at intersections, and the topological characteristics of the research area. Geographic coordinates are automatically determined based on the city map, defining their spatial orientation. This enables the identification of junction points and traffic directions within the research zone. Conclusions. The article presents analytical models of intersections and road segments and addresses the optimization of traffic light cycle durations with the determination of traffic speed when approaching intersections. The development of models based on the Microsoft Visual Studio 2019 software environment and GPS systems has been implemented in practical applications. This approach allows for alleviating traffic congestion, reducing travel time, and improving ecological indicators of urban traffic.