The term "artificial intelligence" refers to a machine intelligence tool which opens up vast possibilities for the "smart industrial revolution." It makes it easy to gather the relevant information and facts, to recognize the alternatives, to select from the alternatives, to take some actions, to make choices, to review the decision, to make some intelligent predictions. The integration of low latency connectivity, resilient, high-speed as well as AI and the IoT technologies will allow the shift towards completely smart Autonomous Vehicle (AV) which highlight the complimentary between the digital knowledge and the real world for industry 4.0. The primary purpose of the study is to investigate in depth a number of automated guided vehicle (AGV) system designs as well as variety of approaches to their implementation. This research presents an overview of the Automated Guided Vehicle System (AGVS) technology, reviews recent technological breakthroughs, and details certain formulations in order to control the traffic within industrial work spaces. A comprehensive assessment of the existing body of previous research served as the methodology for this research. The findings of this study indicate that human error is responsible for ninety percent of all car accidents, and that the best drivers are about ten times superior than the average driver on the road. The safety of automated vehicles is very important, and users are demanding an acceptable risk level that is one thousand times lower.