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All Journal Miracle Get Journal Science Get Journal Journal of Health Service Administration and Hospital Management Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems
Mila Sari
STIKES Dharma Landbouw, Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Mathematics Physics Public Health

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Journal : science get journal

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Road Damage Prediction via Smartphone: Optimizing Vibration Sensors and Crowdsourced Data for Low-Cost Pavement Condition Assessment Mila Sari; Rozlinda Dewi
Science Journal Get Press Vol 3 No 3 (2026): July,2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v3i3.710

Abstract

Road authorities in developing countries lack cost-effective pavement monitoring tools. This study optimizes smartphone vibration sensing and crowdsourced data for automatic road damage prediction. Accelerometer and GPS data were collected from motorcycles on 42 urban road segments (86.4 km) in Padang, Indonesia, producing 12,480 labelled windows across four pavement condition classes. Four machine-learning classifiers were trained and compared: SVM, ANN, XGBoost, and Random Forest (RF). Sampling rate, mounting position, and contributor aggregation effects were systematically evaluated. RF achieved the highest performance (92.4% accuracy, 91.4% F1-score). A 50 Hz sampling rate with dashboard mounting provided optimal results, while pocket mounting degraded accuracy substantially. Aggregating data from five or more contributors reduced IRI estimation RMSE from 2.31 to 1.21 m/km, with strong correlation to ground-truth measurements (r = 0.91). Optimized smartphone sensing offers a scalable, low-cost alternative for pavement assessment in resource-constrained regions, supporting evidence-based maintenance prioritization.
Co-Authors Adriani Agnes Ratna Saputri Andrafikar Arif Prima Esa Zahirah Evino Sugriarta Rozlinda Dewi Rudy Dwi Laksono Safiyah Kamilah Samuel Hadjo Yulfa Yulia