To rate the overall road quality, a multi-criteria logic control block using multi-attribute decision making approaches could be implemented, such as Simple Multi Attribute Rating Technique (SMART), Analytic Hierarchy Process (AHP), and hybrid models, etc. Once sufficient data is obtained, machine learning, sensor data analytics, and computer vision could be applied to investigate road quality. However, each technique has its challenges, and an integration of multi-sensory mechanisms is essential to bring quantification of RQI intoreality. These individual rankings will be integrated to obtain an overall RQI score from 1-10.However, the multi-sensory approach faces challenges regarding time and space synchronization
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