Ontological model for managing waiting time for traffic light signals by road users in a pedestrian crossing zone
Year: 2025
Type: article
Abstract: Purpose of research. Development of an ontological model for managing the waiting time for traffic light signals by road users in a pedestrian crossing zone, with the capability to count the number of pedestrians and vehicles at the intersection and regulate the timing intervals of traffic light signals based on their quantity. Methods. The database for the ontological model is collected using a computer vision system. A cognitive decision-making model is used to determine object boundaries. Object classification is performed using the YOLO algorithm. The counting of pedestrians and vehicles is carried out within a mathematical model for counting detectable objects in an image. The calculation of time for regulating the duration of traffic light signals is achieved through a mathematical model of intelligent traffic light control. The proposed ontological model includes several stages: data collection, image preprocessing, object boundary detection, classification of road users into classes and subclasses, counting the number of pedestrians and vehicles, and calculating the time required to adjust the duration of intelligent traffic light signals. Results. A specialized software model has been developed, which enables the detection of object classes and the calculation of delay times for traffic light signals to regulate an intelligent traffic light. The state registration certificate for the computer program "Program for Detecting Objects at a Pedestrian Crossing and Determining Traffic Light Signal Delay Times" is numbered 2024662790. Additionally, a patent for the invention "Traffic Light Control Device Based on Fuzzy Logic" (No. 2827781) has been obtained, allowing for the generation of control signals for an intelligent traffic light. Conclusion. The results of experimental studies have demonstrated the high efficiency of the developed ontological model for managing the waiting time for traffic light signals by road users in a pedestrian crossing zone.
Authors: M. V. Bobyr, S. G. Emelyanov, N. I. Khrapova
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409220587