Using a Microelectromechanical System for Identifying Roadway Surface Disruptions

Abstract

The roadway surface disruptions (RSD) present several challenges for the drivers and governments agencies. The RSD affect the safety and comfort of the and reduce the useful life of the vehicle. To this end, it is necessary to develop systems capable to classify and inform about the locations and nature of RSDs. The availability of information about location of RSDs could lead to driving assisting technologies warning drivers of potential traveling disruptions. In this paper, the design of a instrumentation vehicle for the analysis and location of RSD is presented. The vehicle is equipped with several accelerometers, to measure the road imperfections, and a GPS to estimate de RSD locations. To analyze the accelerometer data, a filter FIR (Finite Impulse Response) a moving standard deviation is used. Finally, the RSD data are classified by a method based on threshold.