Road anomaly detection is crucial for improving road-user safety and comfort by identifying irregularities that can impact mobility. This study aims to develop a multi-purpose application that, using sensor data from smartphones, creates a comprehensive data layer about road conditions. By using threshold-based methods to analyze accelerometer data, coupled with a dynamic rolling window approach that adjusts based on speed, this system offers robust detection of road anomalies. The method has been validated against ground truth data, demonstrating its potential to provide reliable information. The resulting data layer can be integrated with applications like Google Maps, allowing users to choose routes based on real-time road condition information. This is particularly beneficial for users with specific mobility needs.
Road Accessibility Mapping through Smartphone-Based Sensing
Palazzi C. E.;Zanella A.
2025
Abstract
Road anomaly detection is crucial for improving road-user safety and comfort by identifying irregularities that can impact mobility. This study aims to develop a multi-purpose application that, using sensor data from smartphones, creates a comprehensive data layer about road conditions. By using threshold-based methods to analyze accelerometer data, coupled with a dynamic rolling window approach that adjusts based on speed, this system offers robust detection of road anomalies. The method has been validated against ground truth data, demonstrating its potential to provide reliable information. The resulting data layer can be integrated with applications like Google Maps, allowing users to choose routes based on real-time road condition information. This is particularly beneficial for users with specific mobility needs.
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