Simulation of adaptive traffic light regulation to optimize traffic flows at an intersection

Abstract

The article discusses the use of the AnyLogic simulation environment to study and optimize the operation of an adjustable intersection. The main purpose of the research is to develop and compare two alternative algorithms for adaptive traffic light control. The proposed algorithms analyze in real time the totality of traffic flow indicators (intensity, queue length, waiting time) and on this basis dynamically adjust the duration of the phases of the traffic light cycle. This makes it possible to conduct virtual tests of algorithms under controlled conditions, objectively evaluate their effectiveness based on key metrics (throughput, average transport delay time) and identify the most stable and productive management method for various loading scenarios. The article is of interest to specialists in the field of intelligent transport systems (ITS), traffic management engineers, as well as to researchers and students involved in modeling and optimizing urban mobility. The research results can be used for practical justification of the implementation of adaptive systems at problematic intersections, further development and calibration of more complex control algorithms, creation of digital counterparts of transport hubs for planning and decision-making.