- Thursday, Apr 2nd, 2026
| TITLE | Road Quality Survey Bot using Arduino and Machine Learning |
|---|---|
| ABSTRACT | The state of roads may sometimes be difficult to perceive due to intense climate conditions, absence of road signs, or simply human inattention, which may be harmful to both vehicles and drivers. The automatic monitoring of the road states represents a promising solution to warn drivers about the status of a road in order to protect them from injuries or accidents. In this paper, we pre sent a novel application for data collection regarding road states. Our application entitled “Road Scanner†allows on-board users to tag four types of segments in roads: smooth, bumps, potholes, and others. For each tagged segment the application records multimodal data using the embedded sensors of a smartphone. The collected data concerns mainly vehicle accelerations, angular rotations, and geographical positions recorded by the accelerometer, the gyroscope, and the GPS sensor, respectively, of a user phone. Moreover, a mediumsize dataset was built and machine learning models were applied to detect the right label for the road segment. |
| AUTHOR | ShashiKiran S, Priyanka S, Sahana PS, Swathi SG, Sanjana U Associate Professor, Department of Electronics and Telecommunication Engineering, Jawaharlal Nehru New College of Engineering, Karnataka, Shivamogga, India Department of Electronics and Telecommunication Engineering, Jawaharlal Nehru New College of Engineering, Karnataka, Shivamogga, India |
| VOLUME | 13 |
| DOI | DOI:10.15680/IJARETY.2026.1302016 |
| 16_Road Quality Survey Bot using Arduino and Machine Learning.pdf | |
| KEYWORDS | |
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