Future work should focus on field validation of the proposed framework through real mobile monitoring campaigns in Mohammedia. Such studies should include co-location experiments with fixed reference stations, calibration of correction coeffi-cients under local operating conditions, and evaluation of route efficiency using real GPS trajectory data. Additional research should also investigate seasonal variability, long-term robustness, and the integration of advanced correction methods based on machine learning or signal-processing techniques.

Upcoming research efforts need to validate this proposed framework by conducting actual mobile monitoring campaigns in Mohammedia. These studies must incorporate experiments that position equipment alongside established reference stations, adjust correction factors based on local operational circumstances, and assess how effectively routes perform using actual GPS tracking information. Further investigation should examine how conditions change across seasons, determine long-term reliability, and explore incorporating sophisticated correction approaches that utilize machine learning or signal processing methods.