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Transportation plays a key role in peoples lives, changing views and having a big social and economic growth. In addition, technological developments are also related to social and economic growth, thus the Intelligent Transport System (ITS) has evolved rapidly towards social and economic conditions at this time. The biggest problem with the development of transportation at this time is congestion and even congestion itself has become a matter of greater concern at this time. The more vehicle growth, the more competition that is carried out by factories by promoting the vehicles they make and there are no clear rules for increasing the growth of vehicles. There are several factors that cause congestion starting from population growth in cities that are increasing day by day, roads that are smaller than the volume of vehicles up to traffic accidents are also one of the bottlenecks themselves even the government that provides road facilities. In this study, the application of a dynamic system to model the formulation of vehicle estimation problems and propose information systems and technology strategies that can be used to support solutions to solve problems revealed according to needs. The results of this study are to create a sub-model by simulating vehicle development and congestion levels in urban areas can take a number of references from previous studies so that it can affect the decrease in congestion by increasing the efficiency and effectiveness of driving by implementing a dynamic system.