Progress of VANETS and ITS: A Comprehensive Review

Abstract

Roadside accidents have increased significantly as urban and highway traffic has grown. Vehicular communication systems, which include safety features and on - demand infotainment services, were designed to enhance driving safety and enjoyment. The primary role of these vehicular ad hoc networks, or VANETs, is to communicate information (emergency, general, multimedia) between automobiles using unique routing algorithms not available in standard wireless technologies. Many methods, tactics, and plans have been developed to safeguard and secure data. To improve existing security measures and build new ones, principles from machine learning (ML), deep learning (DL), and artificial intelligence (AI) must be integrated. This document covers a wide range of assaults on VANET communications, compromised security targets, and actual attacks in manufacturing hubs. VANETs are vulnerable to attacks because to their complexity, making real - time implementation and security challenging. The paper examines many strategies that leverage machine learning approaches to maintain efficiency while boosting security and reducing false positives. Data security and the verification of vehicle IDs during communication are prioritised. In addition, the paper briefly discusses VCPS implementation. Advanced driver assistance systems and wireless communication rely on data exchange, raising severe concerns about its reliability. Methods such as Unscented Kalman filtering will be critical for data integrity security, vehicle behaviour verification, and 5G V2V localization. Intelligent transportation systems provide credibility and security by assessing gearbox technology, protocols, and networks used to govern vehicle communication. Future developments will address VANET and intelligent transportation concerns, improving driving safety and efficiency through communication and technical advancements.