About the authors
| First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address. | Lenar R. Ibyatov, engineer, Kazan State University of Architecture and Engineering, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0001-5313-3147 Karina R. Khuziakhmetova, assistant, Kazan State University of Architecture and Engineering, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Lenar F. Mavliev, candidate of technical sciences, associate professor, head of department, Kazan State University of Architecture and Engineering, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0001-6301-0941 Vladimir V. Mokshin, candidate of technical sciences, associate professor, Kazan National Research Technical University named after A.N. Tupolev-KAI, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-7650-3419 |
| Title of the article | Organization of priority passage of special emergency vehicles based on computer vision |
| Abstract. | Problem statement. In the context of growing motorization and congestion of the road network, the task of ensuring priority passage of emergency vehicles is especially acute. Violation of the regulated arrival time leads to an increase in the severity of emergencies, and untimely vacating of lanes by other drivers often causes traffic accidents involving emergency services. Existing intelligent transport systems are focused on flow management and recording violations, but do not provide adaptive priority for emergency vehicles. Although artificial intelligence for object recognition has been studied quite well, its capabilities are used to a limited extent for this task. Therefore, the objective of the work is to develop a program using computer vision technologies for automatic recognition of emergency vehicles with the ability to adaptively control traffic. The tasks of the work are to collect initial data for training a neural network by types of vehicles for priority passage, to develop a program for identifying emergency vehicles using artificial intelligence, and to integrate the developed solutions into existing traffic management systems. The results of the experiments showed high efficiency of the developed algorithm in detecting emergency transport in real time. A software prototype has been implemented that is capable of processing a video stream and recognizing the desired objects with the subsequent ability to transmit a signal to the traffic light control system. Conclusions. The significance of the obtained results for the road industry is that the proposed approach opens up prospects for integrating a software product based on computer vision into intelligent transport systems in order to improve the efficiency and safety of emergency services. |
| Keywords. | artificial intelligence; computer vision; priority travel; emergency services, adaptive control; YOLO; Roboflow |
| For citations: | Ibyatov L.R., Khuziakhmetova K.R., Mavliev L.F., Mokshin V.V. Organization of priority passage of special emergency vehicles based on computer vision // News of KSUAE, 2025, № 4 (74), p. 239-251, DOI: 10.48612/NewsKSUAE/74.21, EDN: UBETMH |
