APPLICATION OF ARTIFICIAL NEURAL NETWORKS:

The way in which human civilization faced its barriers of displacement in space caused, as a consequence, a series of problems that generate some complications in contemporary life. The prioritization of the individual motorized mode saturates the city streets, causing traffic jams, accidents and decline in the quality of life. Measures adopted to mitigate impacts on urban traffic tend to leave more people dissatisfied than satisfied, by the resistance to change typical of the human being. In this scenario, artificial neural networks show potential to analyze human behavior on a road and indicate proposals for overall improvements capable of benefiting all who circulate in urban space. The overall objective of this research is to model an artificial neural network capable of representing the urban traffic pulse. Artificial neural networks have wide application in urban traffic and present themselves as an important tool to enable a humanized, safer and more efficient traffic, integrating motor vehicles and pedestrians.