A REVIEW PAPER ON: VEHICULAR ROUTING INFORMATION SERIES OF OBSERVATIONS TO MAXIMIZE DATA PREFETCHING IN VEHICULAR CLOUD SYSTEM (VCS)

In the last few decades, new wireless communication technologies harmonize into modernistic vehicles offer an opportunity for better abetment or helping to people injured in traffic accidents. Recent research shoe how communication concord should be supported by artificial intelligence systems is the ability of the computer program or machine to learn and perform. To improve the overall rescue procedure, a fast and accurate estimation of the hardness of the accident represent a key point to help emergency service better assessment the required resources .In this paper, we contrive a vehicle route-based data dissemination success probability in an average sense when the size of local data storage is limited and wireless connectivity is precise unknown. We propose a grasping algorithm and an online learning algorithm for determinist and precise cases respectively, to decide how to prefer a set of data of interest from a data centre to roadside wireless access points (APs). The wireless serves as an infrastructure for network connectivity in VANETs. Project proposed a novel intelligent system where is able to automatically detects road accidents, notify them through vehicular network and assessment their severity based on the concept of data mining and knowledge interference.