International Journal of Scientific Research and Engineering Development-– Volume 3 Issue 3, May – June 2020 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 893 Traffic Management System using Vehicle to Vehicle Communication employing LI-FI and IoT Shambhavi 1 ,Shuchi Mishra 2 , Rada Chandresh 3 , Md Abdullah Khan 4 , Dr. Arvind HS 5 1,2,3,4, UG student, ECE, JSS Academy of Technical Education, Bangalore, India 5, Professor, ECE, JSS Academy of Technical Education, Bangalore, India Abstract - Large numbers of road accidents are taking place all over the world due to the collision between vehicles. This paper conceptualizes and tries to implement the idea reducing the consequences of accidents in our daily lives and avoid collision between vehicles. There are various reasons for such adverse condition that results in death or disabilities. The hazardous conditions under which these conditions appear can be overcome if there is communication protocol used in all vehicles and depending on their position drivers control the vehicles to avoid accidents. The existing radio frequency (RF) based communication system has some limitations including interference, congested spectrum and security. These limitations can be overcome by using Visible Light Communication (VLC). It provides high bandwidth, security, interference immunity, and high data rate. This paper presentsthe novel method to avoid collision between two vehicles i.e. front and rear vehicles. The proposed LiFi based Vehicular to Vehicular (V2V) communication system is a cost effective solution with high data rate capabilities. Furthermore this paper presents the idea of incorporating IOT based alert application under the proposed capable Li-Fi systems, hence providing the option of prevention and pre- planning into the system along with providing help in case of occurrence of the accident. Index Terms - Li-Fi, LEDs, VLC, RF, Ultrasonic sensor, Visible Light Communication, Arduino, PIC Microcontroller, Light-emitting diodes. I. INTRODUCTION Road accidents happen on a daily basis taking numerous lives. According to the reports provided by WHO, approximately 1.5 million people died in road accidents in 2018. In order to prevent road accidents in an efficient manner, we need counter-measures which can inform the driver about a potential accident and could take actions to prevent the accident before happening when needed. One of the main causes of road accidents is the inattentiveness of the driver due to fatigue of sleeplessness. Other reasons include rash driving, ignoring the road safety parameters and in some cases, heavy traffic. The other reasons can be mapped as includes sudden loss of driver’s concentration, brake fails, loss of stability. This paper aims to develop an interactive system which can detect the possibility of any potential accident that could take place while driving and warn the driver about the same. To do so, we will be using wireless technology, specifically Li-Fi. VLC is a data communication system which uses visible light for high data transmission and reception. This technology is known as Light Fidelity (LiFi). This will be used to carry and transmit all the data required to prevent the accident and will be connecting the so created network of vehicles, its environment and the cloud using IoT. If the accident takes place, warning messages will be sent to nearest hospitals, fire stations and police stations to take the needed action. This will also provide with a smooth and efficient traffic control system where each vehicle will be able to communicate with each other. There are various ways through which it can be implemented such as the RFID system and the DSRC system approach. We have selected the use of Li-Fi technique because of the ease it offers during the time of data transmission, the cost effectiveness of the system and the improved range that is offered by Li-Fi when compared to other methods. To implement this ideology, we have been reviewing research papers which deal with the same cause. RESEARCH ARTICLE OPEN ACCESS