The increase in the activities of commerce, work, leisure and education of the citizens of the cities has led to an increasing use of public and private transport, which causes that, in many cities, the road infrastructure of the cities is insufficient to meet the enormous demand of vehicles, causing traffic jams at various times of the day. The increase in city transit times caused by the vehicular flow is a relevant problem for modern cities because it affects all its citizens due to the generation of pollution, health problems and problems for accessing the city services. In this context, it is necessary to analyze the dynamic variability of vehicle flow to find solutions to mobility problems in cities. This paper aims to use classical statistical techniques to analyze the variability of vehicular flow behavior using Mexico City, one of the most congested cities in the world, as a case study.