Both energy consumption and travel time are important indices to evaluate the efficiency of operations of metro rail systems. In the case of Copenhagen driverless metro, object of this study, optimization of trains' management during the trip is even more important because the automation in the system can bring to more satisfactory results than manually operated technologies. Little but significant changes can bring to very good improvements in the long run. This study proposes an optimization method to manage the time duration at each train stop during the trips, depending on the number of expected passengers willing to board at each station.