ESTIMATION OF ROAD SURFACE ROUGHNESS CONDITION FROM ANDROID SMARTPHONE SENSORS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 4
Abstract
In day to day life transport to the desired location is the most common activity. Road plays vital role in the whole process of transportation. It is necessary that road condition should not be bad in any case for safety and avoid inconvenience. The road bump is kind of conditions which are needed to immediate monitoring and sharing. Currently, the implementing methods for road bump detection are done by a human visual confirmation and a mechanical measuring of road surface shapes by using profile meter. It needs to use many human resources, long lead time and special equipment. In proposed system, the road bump detection method, which is named Bump Recorder, that can be done more easily, is proposed. Bump Recorder is one kind of the extensional smartphone probe which can be put on the vehicle dashboard, and the vehicle is driven as usual. At first, pedometer gets used for the prototype Bump Recorder which is, the bump detection principle and an actual measurement result are explained which was measured at the Niigataken Chuetsu-oki Earthquake in 2007. And next, for the first generation Bump Recorder which is used the three-dimensional accelerometer that is installed on the smartphone, the bump detection logic and experiment result are explained. At last, for the second generation Bump Recorder which is used threedimensional gyro sensor is explained. In proposed system, road smoothness (Quality) and Ghats (kind of hilly road) complexity analysis will be performed by using GPS system of smartphone and with the help of different sensors like accelerometer, magnetometer, etc. of phone. Information about analysis of the road roughness and Ghats will be uploaded on central server which will be used by user through app during travelling gives reliability & awareness about the road.
Authors and Affiliations
Kavita Darawade*
Keywords
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- EP ID EP164450
- DOI 10.5281/zenodo.49698
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