Influencia del tipo de vehículo y presión de hinchado del neumático para la obtención del IRI a través de smartphone

This study examines the impact of vehicle type and tire inflation pressure on smartphone-based estimation of the International Roughness Index (IRI). The Root Mean Square (RMS) method was applied to the vertical acceleration signal recorded by inertial sensors integrated into different smartphones. The obtained results were compared with reference IRI values measured using a Merlin roughness tester, a first-class standardized instrument. Data collection was conducted on a paved roadway, considering different vehicle types (station Wagon, Sedan, and Hatchback) and controlled variations in tire inflation pressure. Acceleration signals were recorded with specialized applications and subsequently processed, filtered, and analyzed using Python scripts. Statistical analysis included linear regression models, the coefficient of determination (R²), and Pearson’s correlation coefficient (r) to assess the correlation between both measurement methods. Travel segments were unified to eliminate potential data bias. The results indicate that vehicle type and tire inflation pressure do not have a statistically significant influence on the correlation between the two measurement methods. In conclusion, the proposed method is viable, reliable, and cost-effective for estimating the IRI using smartphones, provided the vehicle's mechanical conditions are adequately controlled.

• 第一著者: Ruiz Baño, Daniel Alexander (author)
• その他の著者: Vistin Naranjo, Bryan Antonio (author)
• フォーマット: bachelorThesis
• 言語: spa
• 出版事項: 2026
• 主題: Rugosímetro Merlin; IRI; Tipo de vehículo; Presión de hinchado del neumático
• オンライン･アクセス: http://dspace.unach.edu.ec/handle/51000/16568