It downloads and displays CSV data of road surface conditions.
Based on SmartRoadSense project and web site data:
http://smartroadsense.it/
http://smartroadsense.it/project.html
http://smartroadsense.it/blog/it/
Keywords: Roughness; Accelerometer; Smartphone; Monitoring; Cloud
Abstract:
Monitoring of road surface conditions is a critical activity in transport
infrastructure management. Many research solutions have been proposed in order
to automatically control and check the quality of road surfaces. Most of them
make use of expensive sensors embedded in vehicles or mainly focus on detection
of specific anomalies during monitoring activity.In this paper, we describe the
design of a system for collaborative monitoring of road surface quality. The
overall architecture encompasses the integration of a custom mobile application,
a georeferenced database system and a visualization front-end. Road surface
condition is summarized through a roughness parameter computed using signal
processing algorithms running on mobile devices. The roughness values computed
are subsequently transmitted and stored into a back-end geographic information
system enabling processing of aggregated traces and visualization of road
conditions. The proposed approach introduces a thoroughly integrated system
suitable for monitoring applications in a scalable, crowdsourcing collaborative
setting.