Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications

TL;DR

This paper reviews vehicle-to-vehicle communication protocols, highlighting their components, benefits, challenges, safety implications, and applications of machine learning to enhance intelligent transport systems.

Contribution

It provides a comprehensive overview of V2V communication, including its process, benefits, challenges, and integration with machine learning for improved safety.

Findings

V2V communication reduces traffic congestion and accidents.

Machine learning enhances safety and decision-making in V2V systems.

Challenges include security, standardization, and infrastructure requirements.

Abstract

Vehicle to vehicle communication is a new technology that enables vehicles on roads to communicate with each other to reduce traffic, accidents and ensure the safety of people. The main objective of vehicle-to-vehicle communication protocol is to create an effective communication system for intelligent transport systems. The advancement in technology made vehicle industries to develop automatic vehicles that can share real-time information and protect each other from accidents. This research paper gives an explanation about the vehicle-to-vehicle communication process, benefits, and the challenges in enabling vehicle-to-vehicle communication as well as safety and machine learning applications.