Enhancement of V2X Technology with Artificial Intelligence

Modern communications technology, Intelligent Transportation Systems, and a few possibilities for intelligent traffic safety, efficiency, and comfort solutions have been made possible by computational systems. Traditional data-driven methods have been extensively improved by Artificial Intelligence (AI) in various fields of scientific study. AI and the Vehicle-to-Everything (V2X) technology can broaden the driver's perspective with information from other sources, anticipate accidents, and boost the driver's convenience, safety, and effectiveness. This work provides a thorough analysis of the exploration systems that have used AI to attack crucial exploration issues in V2Xsystems. The value of these exploration systems are outlined, and are divided into several operation fields. Eventually, the paper also discusses the unsolved issues and unborn exploration directions that must be pursued in order to completely use AI's pledge to develop V2X systems.

I. Introduction

Artificial Intelligence (AI) imitates moral decision- making and allows processes using data and algorithms. Colorful diligence, Information and Communication Technology (ICT), retail, healthcare, artificial manufacturing, automotive, oil painting & gas and chemicals, use algorithms to help systems learn and break problems on their own [1]–[3]. ICT and financial services are mature businesses in terms of their use of AI in routine tasks. Businesses in ICT furnish AI- grounded sidekicks for business use (exemplifications are Siri, Alexa, and Google Assistant) [4]–[6].