Organization of reversible traffic based on modeling in AnyLogic environment

Introduction. The development of transport use in the Russian Federation requires the optimal organization of accident-free road traffic, which is especially important for cities and urban agglomerations with a population exceeding one million. Solving problems with the occurrence of traffic congestion and traffic jams in large settlements such as Novosibirsk is impossible without the timely development of road infrastructure and optimization of traffic management. The most promising methods for optimizing traffic flow management on urban highways and intersections are various modeling methods that help to identify the reasons of traffic congestion on the roadway and to develop measures in order to eliminate them.

Research methodology. Simulation in the AnyLogic environment is one of the promising ways for analyzing and modeling traffic flows. The intersection of Georgiay Kolondy and Okruzhnaya streets in Novosibirsk city was chosen as the object of traffic flow condition analysis and optimization. Objective information on the number of vehicles passing through the intersection during the morning and evening “rush hours” was collected by video recording, a natural way of obtaining data.

Results. The initial and optimized simulation models for morning and evening traffic have been developed at the first stage of research for the selected intersection in the AnyLogic environment. As a result of the optimization experiment, based on the change in the phases of traffic light regulation, it has been found the possibility to increase the intersection capacity by 6.6 %. Establishing reversible traffic on one of the intersection streets and optimizing traffic light parameters will additionally increase flow capacity by another 7.7 %.

Discussion and conclusion. The research results confirm the prospects of using simulation modeling in the AnyLogic environment to optimize traffic light control parameters and the feasibility of implementing reversible traffic on heavily loaded urban highways.

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