Immune Neuro-Fuzzy Network Based System for Collision Free Motion Control of Unmanned Electrical Vehicles

This paper presents current results of the research, aimed at the developing of motion control algorithms and systems for autonomous electric vehicles , and discusses one of the goals of the research – collision probability minimization and traffic flow optimization. The task of the current research is to develop a computer model and a laboratory prototype, which would analyze the input data, calculate and minimize the collision probability by changing motion parameters and optimize traffic flow. Computer simulations prove the workability and advantages of the developed model.