VIDEO SURVEILLANCE SYSTEMS FOR MOTOR VEHICLES AT INTERSECTIONS
DOI:
https://doi.org/10.58420/tbxvqw97Keywords:
radio-technical system, intersection, vehicle, signal attenuation, measurement error, traffic safetyAbstract
In modern urban traffic, one of the most pressing issues is ensuring road safety at intersections, where traffic flow intensity reaches its peak. This study investigates the use of radio-technical systems for tracking vehicle positions to improve measurement accuracy and traffic management. The aim of the study is to develop and analyze methods for enhancing the accuracy of vehicle position measurements at intersections using radio-technical systems. To achieve this aim, the following objectives were set: analysis of existing vehicle tracking methods, development of algorithms for distance calculation under various receiver configurations, modeling of signal attenuation using free-space and two-ray models, determination of absolute and relative measurement errors, and comparative analysis of different equipment configurations. The results demonstrated that using a single receiver leads to high measurement errors (Δ = 0.5 m, δ = 5.3 %), making accurate lane determination impossible. Implementing two receivers on opposite sides of the roadway significantly reduces absolute and relative errors, provides accurate lane determination, and considers the impact of weather conditions and signal reflections from the road surface in the two-ray propagation model. Modeling in Pascal confirmed the correctness of the developed distance and signal attenuation calculation algorithms and visualized signal loss dependence on distance. Using a dual-receiver configuration of radio-technical systems at intersections ensures high accuracy in vehicle position determination, reduces measurement errors, and enhances road safety. The developed methods can be integrated into intelligent transportation systems and automated traffic control systems. Future research may focus on adapting algorithms to varying weather conditions and traffic intensity.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Р.Т. Сафин, Е. Бағдоллаұлы, Цзя Вэй

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.







