Urban traffic flow management requires continuous improvement in order to facilitate traffic in a smart way, solve traffic congestion problems and ensure good quality of service. The system representing urban traffic is a hybrid dynamic system, since it is made up of continuous processes interacting with discrete processes, where they can be represented by continuous dynamic type models (length of queues and time d evacuation of this length…) and has discrete events (control of traffic lights and the quantification of vehicles in the lanes). The objective is to organize the flow of these objects so that they are better distributed in the structure, according to certain criteria and constraints to be defined. We are interested in the structure of Petri nets and the application of the hybrid Petri net formalism as a graphical tool used in the modeling, the study of the dynamics and the performance evaluation of the hybrid system allows us to analyze these properties. By acting on the structure of the study model and on its parameters in order to evaluate its behavior and build a structured and optimal control system. Emphasis on the modeling of the urban traffic flow by the hybrid Petri Nets tool. Exploiting the timing of the Petri networks in the construction of the basic model of an intersection, with the quantification of vehicles we can estimate the Queue lengths so as to intelligently manage evacuation speed in intersections with appropriate time varying in order to control the crossing lights of adjacent intersections, applying this model to three related intersections between them and so on in order to facilitate the flow of traffic between the upstream and downstream intersections, the modeling and analysis of the results are checked and validated by a software simulator 'Visual Objet Net ++' under Windows.