Modeling the Operation of Signal-Controlled Intersections with Different Lane Occupancy

Viacheslav Morozov (), Vladimir Shepelev and Viktor Kostyrchenko
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Viacheslav Morozov: Department of Road Transport Operation, Industrial University of Tyumen, 625000 Tyumen, Russia
Vladimir Shepelev: Department of Automobile Transportation, South Ural State University (National Research University), 454080 Chelyabinsk, Russia
Viktor Kostyrchenko: Department of Road Transport and Technological Systems, Industrial University of Tyumen, 625000 Tyumen, Russia

Mathematics, 2022, vol. 10, issue 24, 1-24

Abstract: In many cities of the world, the problem of traffic congestion on the roads remains relevant and unresolved. It is especially noticeable at signal-controlled intersections, since traffic signalization is among the most important factors that reduce the maximum possible value of the traffic flow rate at the exit of a street intersection. Therefore, the development of a methodology aimed at reducing transport losses when pedestrians move through signal-controlled intersections is a joint task for the research and engineering community and municipalities. This paper is a continuation of a study wherein the results produced a mathematical model of the influence of lane occupancy and traffic signalization on the traffic flow rate. These results were then experimentally confirmed. The purpose of this work is to develop a method for the practical application of the mathematical model thus obtained. Together with the obtained results of the previous study, as well as a systems approach, traffic flow theory, impulses, probabilities and mathematical statistics form the methodological basis of this work. This paper established possible areas for the practical application of the previously obtained mathematical model. To collect the initial experimental data, open-street video surveillance cameras were used as vehicle detectors, the image streams of which were processed in real time using neural network technologies. Based on the results of this work, a new method was developed that allows for the adjustment of the traffic signal cycle, considering the influence of lane occupancy. In addition, the technological, economic and environmental effects were calculated, which was achieved through the application of the proposed method.

Keywords: traffic flow rate; lane occupancy; signal-controlled intersections; traffic signalization; neural network technologies (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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