Software to Model the Pollution Generated by Co2 Emission by Automobiles in Mexico City

Air pollution, driven by vehicle emissions, is a serious problem in Mexico City.Emissions modeling, focused on CO 2 and supported by graphics, is presented as a tool to understand and analyze the magnitude of the problem.The proposed modeling considers various factors, such as the duration of the journeys, the brand of the vehicles, the type of fuel they use, the route they travel on and the number of cars on it.Through graphs, modeling provides estimates and reveals trends in emissions over different periods.The model creation process involves collecting information provided by users.The least squares technique is applied to fit the line to the recorded CO 2 emissions data.The data visualization includes a pie chart to show the proportion of CO 2 emissions by vehicle brands, a bar chart to represent the estimated number of vehicles on the road by month, and a line chart to illustrate how emissions change over time, identifying patterns and trends.Upon completion, a final report is prepared that synthesizes the results, providing clear and understandable information on the emissions calculations for end users.This approach seeks to guide actions to reduce emissions and facilitate understanding of the situation.