Remote sensing from a single integrated system that produces false alerts and deadlock conditions has become one of the issues of autonomous vehicles. It believes that the cloud-based vehicle control system is effective as it would be required to implement a number of vehicles since it can gather intelligence for synchronization from sensors throughout several vehicles. Moreover, mobile edge computing (MEC) has increasingly achieved concern in the upcoming generation wireless network, including 5G, as cloud-based connectivity has inherent difficulty in long-haul connectivity prone to protracted delay and packet failure caused by interference. In this paper, it suggests an EC based method for vehicle charging, in sequence with a broad data-driven development model. Mobility-aware Edge Computing servers connect with ineffectively found vehicles to transmit the expected accessibility of loading by CSs, gather big data moving vehicles, and introduce decentralized big data, and optimizes computing. And if the percentage of edge server access schedule to cloud improving the efficiency is reduced to 50%, it will enhance the same reliability as edge control system constant monitoring.