Unsupervised Transport Vehicle Control: Simulation Study and Performance Results

This paper presents current results of the research, aimed at the developing of motion control algorithms and systems for unsupervised electric vehicles, and discusses the results of the computer simulations and necessary parameters. The task of current research is to develop immune neural network based system structure and computer model for analyzing the situation and minimizing the collision probability by changing electrical vehicles movement parameters, to develop the computer model and to find appropriate parameters for best simulation results.