One of the most common applications of microsimulation traffic modeling is an analysis of the impact of construction or reconstruction of traffic facilities/infrastructure, as well as changes in traffic regulation to the observed traffic network, still in the planning stage. Having in mind that the functioning of the transport system is influenced by variable human behavior, which is, among other things, territorially and culturally conditioned, the microsimulation model must be calibrated or adjusted to the local characteristics of the transport network and its users. The method of calibration of the VISSIM microsimulation model, by using neural networks, was developed on the urban transport network of the city of Osijek (Croatia). Validation procedures on the other intersections of the same transport network (in the city Osijek) gave results which correspond well to those measured in actual traffic conditions. This paper presents the results of the validation of the calibration procedure on the new transport network of the city of Rijeka, with significantly different characteristics of the transport network as well as the different behavior of drivers. VISSIM microsimulation model was calibrated by the use of neural networks and applied to simulate the change of the selected road to the pedestrian zone at a given time in the urban traffic network of Rijeka. The simulation results were compared with results achieved at the field in the situation of the actual closing of the observed road. Analysis of the results gives a basic insight into the applicability of method of calibration of the VISSIM microsimulation model to the urban transport network with different characteristics of the transport network and the user on which the calibration method has been developed.