Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Farah Mahdi Yaseen Al-Sallami; Olivier Haas; Ahmed  Al-Kinani; Cheng-Xiang Wang; Zahir Ahmad; Sujan Rajbhandari

doi:10.1109/JSYST.2021.3100257

Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Farah Mahdi Yaseen Al-Sallami, Olivier Haas, Ahmed Al-Kinani, Cheng-Xiang Wang, Zahir Ahmad, Sujan Rajbhandari

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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Abstract

In this article we studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio and the associated bit-error-rate (BER) performance of vehicle-to-vehicle visible light communication (V2V-VLC) systems. The article uses traffic data from the M42 and M6 motorways in the U.K. to investigate the probability of coexistence of other vehicles in the adjacent lanes, which induce interference and act as potential reflectors. The results show that the probability of coexistence of other vehicles in the adjacent lanes is lane-independent and it increases during the rush hours to 90%, while it decays to less than 10% during the off-peak and early morning hours. The intervehicular distance and the BER performance vary widely between different lanes and different periods of the day. The results also show that the BER performance of V2V-VLC system with non-line-of-sight (NLOS) component and with LOS component are comparable at rush hours. However, high BER values are predicted during the off-peak hours for NLOS components of the channel.

Original language	English
Pages (from-to)	3512-3521
Number of pages	10
Journal	IEEE Systems Journal
Volume	16
Issue number	3
Early online date	17 Aug 2021
DOIs	https://doi.org/10.1109/JSYST.2021.3100257
Publication status	Published - 1 Sept 2022

Bibliographical note

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Funder

The authors would like to thank Highways England and Mott MacDonald for providing us with traffic data that were also used in the InnovateUK funded project UKCITE, grant 102581. This work was carried out as a self-funded PhD programme at Coventry University, UK. O Haas was funded by Assured CAV Parking, innovate-UK grant 105095, Cheng-Xiang Wang was funded by the National Natural Science Foundation of China (NSFC) under Grant 61960206006 and the EU H2020 RISE TESTBED2 project under Grant 872172.

Keywords

Dynamic traffic conditions
dynamic vehicular traffic density
vehicular communication channel model
vehicular communications
visible light communication (VLC)

Access to Document

10.1109/JSYST.2021.3100257

Post-PrintAccepted author manuscript, 1.6 MBLicence: Unspecified

https://ieeexplore.ieee.org/abstract/document/9515714

Cite this

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Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Abstract

Bibliographical note

Funder

Keywords

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Assured Parking: Assured Parking - Trusted Autonomous Parking

UKCITE: UK Connected & Intelligent Test Envionment (UK CITE)

Cite this

Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Abstract

Bibliographical note

Funder

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Assured Parking: Assured Parking - Trusted Autonomous Parking

UKCITE: UK Connected & Intelligent Test Envionment (UK CITE)

Cite this