Abstract
The evaluation of roadway networks utilizing contemporary datasets is currently conducted periodically because of the collection methods’ cost. Nowadays, the development of smart city-based systems aims to transform city road infrastructure using big data information and communications technology. The proposed system utilizes vehicles, smartphones, onboard diagnostic (OBD) devices and machine learning algorithms. The major contribution of this work is the development of a cost-efficient smart city-based assessment system that evaluates roadway pavement roughness conditions more frequently than current systems. The system’s roadway daily information can be utilized by pavement agencies for automating the planning of pavement maintenance.
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