Road congestion has a substantial environmental impact on smart cities, contributing to about a fifth of global CO2 emissions. In Morocco, urbanization has resulted in increasing air pollution and congestion in densely populated towns. Despite attempts to construct sustainable infrastructure, public transportation is insufficient owing to exponential growth in demand. Casablanca, Morocco’s commercial center, joined the network of 25 smart cities in 2015 and wants to be one of the world’s most connected. This study intends to identify the key elements contributing to air pollution produced by vehicle traffic congestion in Casablanca’s metropolitan districts, evaluate and classify obtained data, and present how to implement the proposed LSTM (long short-term memory) model and future research recommendations.