Traffic modeling at a regulated intersection using Petri nets with constraints on the crossing time period

The study of optimization of urban traffic flows becomes especially relevant in the current conditions of rapid urbanization and growth in the number of vehicles. Effective traffic flow management allows not only to reduce the level of traffic jams and congestion, but also to improve the environmental situation in cities, reduce travel time for drivers and passengers, and improve road safety. This paper focuses on the methods of traffic flow modeling on the example of a regulated intersection. The authors propose a method for modeling traffic flow based on the use of Petri nets with time constraints. The presented analysis of the computational experiment using the proposed model demonstrates its effectiveness in predicting traffic flows and identifying bottlenecks. The authors propose the structure and rules of functioning of Petri net elements, which allows to adapt the model to the specific conditions of a given intersection. The materials of the paper are of considerable practical value for solving problems of traffic flow optimization at regulated intersections. The proposed methods and models can be used by urban planners and engineers to develop more effective traffic management strategies, which ultimately contributes to improving the quality of life in cities and reducing traffic congestion. Thus, this study makes an important contribution to the development of the theory and practice of traffic flow management, offering new tools and approaches for solving current urban mobility problems.

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