Modern embedded microcontrollers used in lift automation can provide the system operation under both static and dynamic strategies. The control system operating under dynamic strategy can change the lift system controls under different passenger behaviours, varying to improve the efficiency of service. However, it is extremely challenging to determine the system conditions leading to the decision to switch the control strategies. The present paper investigates the influence of the passengers’ flow parameters on lift control systems strategies using a hybrid mathematical model combining agent-based and discrete event methods. It has been shown that the operation of the lift control systems, in the context of decision leading conditions, can be effectively assessed through a model analysis. The proposed model has been simulated using AnyLogic systems to estimate the impact of uneven flow of passengers on performance of a ten floor lift system. The results of simulations have been used to determine the optimum intervals between the calls and lift arrival time which lead to strategies that minimise passenger’s waiting time.