Synthesis of the Algorithm for Assessing Vehicle Lane Based on a Local Positioning System Using Ultra-Wideband Signals

The task of determining the lane of a vehicle is an urgent task. Such solutions can be used in traffic control systems and toll collection systems on toll roads. Ultra-wideband technology is promising for solving this problem due to the high accuracy of determining the coordinates of an object. This article discusses a vehicle lane detection system using a local navigation system based on ultra-wideband signals. In this work, methods of system design, computer modeling and experimental research were used. As a result of the research, an algorithm was developed and tested, which demonstrated high accuracy in modeling and in practical experiments. The use of the nonlinear range difference approximation method significantly reduced the error in determining the bandwidth, ensuring reliable operation of the algorithm.

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Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10970843
Primary Topic
Transportation Systems and Logistics
Type
article
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article

Synthesis of the Algorithm for Assessing Vehicle Lane Based on a Local Positioning System Using Ultra-Wideband Signals

Stepan V. Orobchenko, Nikita I. Petukhov, Igor B. Galuev, Adam A. Khabachirov et al.
Transportation Systems and Logistics
article

Synthesis of the Algorithm for Assessing Vehicle Lane Based on a Local Positioning System Using Ultra-Wideband Signals

Stepan V. Orobchenko, Nikita I. Petukhov, Igor B. Galuev, Adam A. Khabachirov, Pavel A. Bondarev, Alisa O. Kozhevnikova
article en

Abstract

The task of determining the lane of a vehicle is an urgent task. Such solutions can be used in traffic control systems and toll collection systems on toll roads. Ultra-wideband technology is promising for solving this problem due to the high accuracy of determining the coordinates of an object. This article discusses a vehicle lane detection system using a local navigation system based on ultra-wideband signals. In this work, methods of system design, computer modeling and experimental research were used. As a result of the research, an algorithm was developed and tested, which demonstrated high accuracy in modeling and in practical experiments. The use of the nonlinear range difference approximation method significantly reduced the error in determining the bandwidth, ensuring reliable operation of the algorithm.

Moscow Power Engineering Institute (RU), Moscow Aviation Institute (RU)
Sustainable cities and communities
Openalex Percentile: Top 90%
Transportation Systems and Logistics
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