Correlation of Vehicle Speed to Road Surface Condition Using Roadroid Application

Abstract

The road condition should provide a decent level of comfort, safety and efficiency for the road users. One of the pavement performance parameters that can be determined objectively is the International Roughness Index (IRI). This research uses a relatively new technology to measure IRI value named the Roadroid, which is an android application developed from a Sweden company. Roadroid uses a built-in vibration sensor on a smart phone which is placed on the vehicle and produces output value in the form of IRI and speed values. Roadroid application obtained output data based IRI value and speed value with high accurately because used real-time data with each vehicle type which get through each road surface condition. Each type of vehicle produces an output of IRI values on different roadroid applications for each type of road surface damage which is influenced by various factors, one of which is the vibration sensitivity setting factor of the roadroid application system during the start calibration of the type of vehicle selection. The IRI and speed value based on the output of the roadroid application have a high correlation of 87.8% on medium car.