Predicting the traffic capacity of an intersection using fuzzy logic and computer vision
Shepelev V. Glushkov A. Bedych T. Gluchshenko T. Almetova Z.
October-2 2021MDPI
Mathematics
2021#9Issue 20
This paper presents the application of simulation to assess and predict the influence of random factors of pedestrian flow and its continuity on the traffic capacity of a signal-controlled intersection during a right turn. The data were collected from the surveillance cameras of 25 signal-controlled intersections in the city of Chelyabinsk, Russia, and interpreted by a neural network. We considered the influence of both the intensity of the pedestrian flow and its continuity on the traffic capacity of a signal-controlled intersection in the stochastic approach, provided that the flow of vehicles is redundant. We used a reasonably minimized regression model as the basis for our intersection models. At the first stage, we obtained and tested a simulated continuous-stochastic intersection model that accounts for the dynamics of traffic flow. The second approach, due to the unpredictability of pedestrian flow, used a relevant method for analysing traffic flows based on the fuzzy logic theory. The second was also used as the foundation to build and graphically demonstrate a computer model in the fuzzy TECH suite for predictive visualization of the values of a traffic flow crossing a signal-controlled intersection. The results of this study can contribute to understanding the real conditions at a signal-controlled intersection and making grounded decisions on its focused control.
Fuzzy logic method , Pedestrian flow , Predictive visualization of a vehicle flow , Traffic capacity of an intersection , Traffic simulation
Text of the article Перейти на текст статьи
Department of Automobile Transportation, South Ural State University (National Research University), Chelyabinsk, 454080, Russian Federation
Department of Mathematical and Computer Modelling, South Ural State University (National Research University), Chelyabinsk, 454080, Russian Federation
Department of Energy and Mechanical Engineering, M. Dulatov Kostanay Engineering and Economic University, Kostanay, 110000, Kazakhstan
Department of Electric Power, Kostanay Regional University Named after A. Baitursynov, Kostanay, 110000, Kazakhstan
Department of Automobile Transportation
Department of Mathematical and Computer Modelling
Department of Energy and Mechanical Engineering
Department of Electric Power
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026