Application of Fuzzy Logic control in automated transport systems

This paper describes a vehicle position control strategy in relation to other vehicles and nearby obstacles with the aim of collusion avoidance and improving safe driving in personal transport systems. A simplified probabilistic model together with fuzzy logic control strategy has been proposed, which considers the probability of detection of sensors to be processed by probability coverage matrix. Simulation results in Matlab (Fuzzy logic toolbox) show that the proposed method for the system can yield to more sophisticated and elaborate control strategies. Detailed probabilistic models a long with a global optimisation of parameters has been found to enhance the applicability of the Fuzzy Logic scheme. The sensors are based on the radar systems. The sensor fusion to enhance the driver, vehicle, and environment are also discussed.