Efficient road infrastructure maintenance and management depends on many factors, out of which the availability of updated pavement condition data is the most important. The International Roughness Index (IRI) is a standard parameter that is used to identify the condition of existing pavement surfaces with respect to the roughness. The aim of this paper is to focus on building an effective and low cost system for measuring the IRI. A light four wheeler vehicle was used to conduct the survey. Five numbers of smart phones with accelerometer sensor app is placed inside the vehicle at different positions to record vibration. Evaluation was carried out by using Auto Bump Integrator and accelerometer sensors simultaneously. Data was collected on the NH30 Patna, Bihar. Correlation between IRI and SRPSD (Square Root of Power Spectral Density) was established that depends on the transfer function, frequency and uniform speed of vehicle. It was found that a developed model is sufficient to find IRI value. Assessment of pavement roughness using proposed technique can be helpful enough in the context of low cost, easy to operate and can be implemented frequently.
