An Intelligent Autonomous Vehicle Management System

This paper describes an intelligent vehicle management system, which uses Fuzzy logic to infer, from a set of input variables obtained from the vehicle's environment, what is the best destination for the vehicle. This is a decentralized implementation, that is, each vehicle is capable of deciding what is the best destination for itself, and also communicate with other vehicles to see if it's objective is the best one globally. To ensure a good response time from the vehicles, without the need of a powerful and expensive hardware, every vehicle uses a table with the output defuzzified values previously calculated for the inference process, instead of a complete fuzzy engine.