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The automobile has become an essential element in the daily life of people. In the urban traffic network, an intersection is the ``bottleneck point'' of road network capacity. Most cities in Latin America have a traditional single control system or none. In this context, adequate programming of the traffic light cycles helps to reduce vehicles' waiting time and improve traffic flow. In this paper, we compare five metaheuristics to minimize vehicles' waiting time and maximize the velocity of vehicles in two real scenarios of Argentina and Uruguay. Analysis of experimental results shows that the proposed model optimizes the vehicular flow in a multiple-junction urban traffic network with different topologies and traffic flow.