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Automated control for Two Way Vehicle to Vehicle Communication Using IoT

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 05 | May 2024

p-ISSN: 2395-0072

www.irjet.net

Automated control for Two Way Vehicle to Vehicle Communication Using IoT Sridhar Kumar H R1 , Nithin S G2, Ganashree K3, Narendra4 , Siddaraju p5 Department of EI Engineering, Dr Ambedkar institute of technology Bengaluru , Karnataka ,India ---------------------------------------------------------------------***--------------------------------------------------------------------know where the other vehicles are, additionally other Abstract –

vehicles will Know where you are too whether it is in blind spots, stopped ahead on the highway but hidden from view, around a blind corner or blocked by other vehicles. The vehicles can anticipate and react to changing driving situations and then instantly warn the drivers with emergency warning messages. If the driver doesn’t respond to the alerts message, the vehicle can bring itself to a safe stop, avoiding a collision.

This paper proposes an automated control system for facilitating Two Way Vehicle to Vehicle (V2V) communication using IoT technology. With the rapid advancement of autonomous vehicles and smart transportation systems, effective communication between vehicles has become crucial for ensuring safety, efficiency, and traffic management. Traditional methods of V2V communication often rely on predefined protocols and manual interventions, leading to limitations in adaptability and scalability.

1.1 PROBLEM STATEMENT The existing road infrastructure faces challenges related to road safety, traffic congestion, and timely communication between vehicles. Lack of real-time data exchange among vehicles hinders the ability to proactively address potential hazards and optimize traffic flow. This project addresses these issues by implementing a Vehicle-to-Vehicle (V2V) communication system using Internet of Things (IoT) technology. The aim is to overcome the current limitations in inter-vehicle communication, fostering a safer and more efficient transportation environment. By developing a robust V2V framework, the project seeks to mitigate accidents, reduce traffic congestion, and enhance overall road safety through improved communication and collaboration among vehicles.

In this study, we present a novel approach leveraging IoT devices installed in vehicles to enable seamless and dynamic communication between vehicles on the road. The proposed system utilizes a combination of sensors, actuators, and communication modules integrated into vehicles, allowing them to exchange real-time data such as location, speed, direction, and the status of the vehicle. Through intelligent algorithms, the system can analyze incoming data streams, identify potential hazards or traffic conditions, and autonomously make decisions to optimize vehicle movements and enhance overall traffic flow and increase the intelligence of the autonomous vehicles. Key Words ,Internet of things(IOT), vehicle to vehicle (V2V)

Fig 1.1.1 shows, A driver should constantly keep an eye on vehicles closest to her/his location in order to avoid collisions. Unfortunately, the driver often does not see closest vehicles due to obstacles (other vehicles, trees, buildings, etc.). In this paper, we introduce a novel type of query called a continuous range k nearest neighbor (CRNN) query in vehicular ad-hoc networks, and propose a scheme for query processing. The main objective of this processing is to avoid the collision between the two vehicles when the driver should not able to control the vehicle. i.e. When driver should get disable to control the vehicle then this system should provide the proper response to the system for collision avoidance. The aim of our project is to avoid the collision between two or more vehicles on road for the safety purpose using this system. Following objectives can be achieved through this proposed work.

1.INTRODUCTION This project focuses on implementing a Vehicle-to-Vehicle (V2V) communication system using Internet of Things (IoT) technology. The objective is to enhance road safety and efficiency by enabling real-time data exchange between vehicles. Utilizing sensors and communication modules, the system facilitates the sharing of information such as speed, location, and road conditions among nearby vehicles. The collected data is processed centrally, allowing for the generation of alerts and warnings to improve driver awareness and preemptively address potential hazards. This V2V communication framework aims to create a connected and responsive automotive ecosystem, contributing to safer and more intelligent transportation network. Using two-way vehicle-to-vehicle (2WV2V) communication, a vehicle can detect the position and movement of other vehicles up to a quarter of a kilometer away. In a real world where vehicles are equipped with a simple antenna, a computer chip and GPS (Global Positioning System) Technology, your vehicle will

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