Pavement surface monitoring has been a challenging activity historically in transport infrastructure management. Many researches have proposed a solution to check and control the pavement profile automatically. Mostly heavy sensors are employed in vehicles, like bump integrator or other class-1 profilers, resulting in an expensive measure. In developing countries detection of pavement irregularities also focuses on use of Merlin Cycle. This paper is based on monitoring a specific road surface using Merlin Cycle and Android-based smartphone mounted on a motor vehicle, that is, bike at a varying condition of speed and type of bike used. The overall architecture consists of the integration of a smartphone application (ROADROID), a georeferenced database system, a visualization front-end (MS EXCEL) and a regression analysis software (SPSS, i.e. Statistical Package for Social Sciences). Pavement quality is summarized through roughness parameters (i.e. estimated international roughness index (EIRI) and calculated international roughness index (CIRI)) computed using in-built accelerometer and global positioning system (GSM) technique on mobile devices. The roughness values captured were wholly transmitted in a back-end geographic information system that gave the value of road condition in terms of international roughness index (IRI). Then comparison of the two values obtained from two sources, that is, Merlin Cycle and smartphone application was done, and a correlation and regression analysis was also done using SPSS software.
Study of Pavement Unevenness Using Sensor-Based Smartphone Software
Lecture Notes in Civil Engineering
2020-09-28
20 pages
Article/Chapter (Book)
Electronic Resource
English
Smartphone application , Software , IRI , Merlin , Motor bike , Correlation and regression Engineering , Building Construction and Design , Geotechnical Engineering & Applied Earth Sciences , Transportation Technology and Traffic Engineering , Geoengineering, Foundations, Hydraulics , Construction Management , Remote Sensing/Photogrammetry
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