Design of application for vehicle classification with queue detection using deep learning

Artur Skorupka; Tomasz Ciechulski

doi:10.24136/jaeee.2025.011

Authors

Artur Skorupka Military University of Technology
Tomasz Ciechulski Military University of Technology

DOI:

https://doi.org/10.24136/jaeee.2025.011

Keywords:

vehicle and queue detection, image classification, deep learning

Abstract

The aim of the study was to create a solution that would enable the detection of a queue of vehicles before an intersection with traffic lights in the Matlab programming environment. The work focuses on designing an application for detecting a queue of cars, using the YOLO algorithm and developing a mechanism for changing lights based on the detected queue. The solution presented in the paper can be applied in practice and contribute to increasing safety, traffic flow and efficiency of urban traffic management.

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