Evaluate the accuracy of vehicle type on road surface condition survey using roadroid application

Abstract

Poor road surface conditions influence the continuity of sustainable transportation such as congestion, the assessment stages road surface conditions are by evaluating the existing road conditions. One of the pavement performance parameters that can be determined objectively is International Roughness Index (IRI). Nowadays, the cheap and reliable technology used to measure IRI value is Roadroid which is an Android application developed from a company in Sweden by using a built-in vibration sensor on a smart phone which is placed on the vehicle and the old manual method is called Surface Distress Index (SDI) which is based on visual observations using the RCS method. With the variation of flexible and rigid pavement consist of good and bad road conditions and using motorcycle, sedan and sport utility vehicle, it is found that the correlation between the IRI value using Roadroid and SDI value using visual observation shows high correlation where the highest r2 values by using Sport Utility Vehicle (SUV) compare to small car and motorcycle. It concludes that Roadroid can be used as database for road maintenance planning purposes.