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DOI: 10.14569/IJACSA.2024.0150715
PDF

Research of the V2X Technology Organization Model for Self-Managed Technical Equipment

Author 1: Amir Gubaidullin
Author 2: Olga Manankova

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 7, 2024.

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Abstract: The steady progression of information technology today is opening up opportunities for extensive automation across various sectors, including the automotive industry. The active development of IT systems has paved the way for V2X (Vehicle-to-Everything) technology, which enables communication such as "vehicle-to-vehicle" and "vehicle-to-road infrastructure". This article focuses on exploring the use of V2X technology to create "intelligent transportation". Currently, V2X technologies are not widely adopted due to the limited coverage of 5G networks. Although the existing 4G network is adequate for streaming HD content and playing online games, it cannot support the safer and smarter operation required for autonomous cars. Nevertheless, within the 4G network framework, it is possible to develop a comprehensive solution for automating car traffic. This would significantly reduce the number of road accidents and optimize traffic flow. This article explores the implementation of V2X technology in road traffic to achieve these goals.

Keywords: V2X; V2V; autonomous vehicles; DSRC; scenarios; frequency spectrum

Amir Gubaidullin and Olga Manankova. “Research of the V2X Technology Organization Model for Self-Managed Technical Equipment”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.7 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150715

@article{Gubaidullin2024,
title = {Research of the V2X Technology Organization Model for Self-Managed Technical Equipment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150715},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150715},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {7},
author = {Amir Gubaidullin and Olga Manankova}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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