First, this study is based on theoretical modeling and literature-derived perfor-mance parameters rather than on newly collected experimental data. The uncertainty coefficients, correction parameters, and performance assumptions were derived from previously published studies and technical specifications. Therefore, local calibration campaigns would be necessary to validate and adjust these coefficients to the specific environmental and operational conditions of Mohammedia. The spatial coverage estimation presented in Equation (12) is based on assumed operational parameters, including average vehicle speed, lateral coverage width, and route efficiency. These assumptions were not validated using real GPS trajectory data. In practice, route repetition, traffic congestion, inaccessible streets, and operational in-terruptions may reduce effective spatial representativeness. Furthermore, the cost–benefit assessment relies on scenario-based life-cycle as-sumptions and generalized cost estimates. Actual implementation costs may vary de-pending on procurement strategies, infrastructure requirements, and long-term maintenance conditions.

This study relies on theoretical modeling and performance parameters taken from existing literature rather than newly gathered experimental data. The uncertainty coefficients, correction factors, and performance assumptions all come from previously published research and technical documentation. As a result, local calibration efforts would be needed to verify and fine-tune these coefficients for the particular environmental and operational conditions found in Mohammedia. The spatial coverage estimate shown in Equation (12) depends on assumed operational factors such as typical vehicle speed, lateral coverage range, and route effectiveness. These assumptions have not been confirmed through actual GPS tracking data. In real-world conditions, repeated routes, traffic delays, streets that cannot be accessed, and operational disruptions could decrease the actual spatial representation. Additionally, the cost-benefit analysis uses scenario-based lifecycle projections and broad cost estimates. Real implementation expenses may differ based on purchasing approaches, infrastructure needs, and ongoing maintenance requirements.