An Effective Framework to Improve Performance and Security in Intellectual Vanet

Vehicular Ad Hoc Networks, also known as VANETs, are an essential component in the development of intelligent transportation systems. They hold the promise of improving commuters' safety, efficiency, and convenience. The dynamic and decentralised character of VANETs, on the other hand, presents a number of issues, notably with regard to performance and security. a complete framework that is aimed to enhance the operation of VANETs and address the difficulties that have been identified. Intelligent routing algorithms, collaborationbased collision avoidance methods, and robust security protocols are the three primary components that make up the system. In the first place, intelligent routing algorithms make use of machine learning techniques in order to dynamically adapt to shifting traffic circumstances. This increases the efficiency of data transmission while simultaneously reducing delays. Whendetermining how to properly route data packets over the network, these algorithms take into consideration a variety of parameters, including the density of vehicles, traffic patterns, and congestion on the network.