Autonomous control has been studied in detail in the recent years. Control algorithms have been developed along with strategical and technical solutions. Still there is lack of broad applications of autonomous control in industry, which impedes a comprehensive evaluation of autonomous control algorithms. The presented simulation study applies multiple control algorithms within a simulation model using real business data derived from a scenario of an automobile logistics company. The results point out which control methods are able to increase logistic targets achievement, but they also reveal where autonomous control reaches its limits.