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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: LI-FI Based Vehicle to Infrastructure Communication
Authors Name: Riya John , Santumon S.D
Unique Id: IJSDR1608057
Published In: Volume 1 Issue 8, August-2016
Abstract: This paper presents a novel method of wireless communication of Vehicle to Infrastructure (V2I) communication using visible light communication technology. It can provide audio safety information inside the vehicle through visible light communication. Traffic signals can be displayed in the LCD which is placed inside the vehicle. Also the traffic signals can be controlled according to the density of the vehicles in the junction. To take the density of the vehicle an IR pair sensor is placed a certain distance from the traffic signal. The output of the sensor is given to the interrupt pin of the micro controller in the transmitter side. If the number of vehicle become large then density of vehicles are considered to be high. The widespread use of LEDs in traffic applications and the growing interest in intelligent transport systems (ITS) presents a number of opportunities for VLC applications. In short by using V2I communication real time transmission of traffic signal data to the vehicle is possible. This data can be used for collision detection and for enhancing driving safety.
Keywords: Intelligent Transport System (ITS), Light Fidelity (LI-FI), Vehicle to Infrastructure Communication (V2I), Visible Light Communication (VLC).
Cite Article: "LI-FI Based Vehicle to Infrastructure Communication", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 8, page no.426 - 431, August-2016, Available :http://www.ijsdr.org/papers/IJSDR1608057.pdf
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Publication Details: Published Paper ID: IJSDR1608057
Registration ID:160734
Published In: Volume 1 Issue 8, August-2016
DOI (Digital Object Identifier):
Page No: 426 - 431
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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