APPLICATION OF FUZZY LOGIC IN ESTIMATION OF CARBON MONOXIDE OF URBAN TRANSPORT IN THE CITY OF KENITRA, MOROCCO

摘要

Decreasing carbon monoxide (CO) emissions has become an overarching concern for transportation policy and planning throughout the world. This article presents a fuzzy logic based approach for urban transport sustainability. We address the issue of reducing CO emissions by varying other factors related to urban transport. Fuzzy logic modeling is developed using three input variables including speed, fuel consumption, and number of bus stops for the case of the city of Kenitra. The fuzzy controllers Mamdani and Sugeno were used to develop this model. The results of this study provide a decision-support model for help local authorities to reduce CO emissions by varying the other factors related to urban transport.