SmartRoadSense is a crowd-sensing system used to continuously monitor the surface status of the
international road network.
SmartRoadSense mobile apps are able to detect and classify the road surface irregularities by mean of common
accelerometers usually embedded in any smartphone. The mobile app store send these data to an in-cloud
The server associates each track with the actual road the user travelled then, info collected by diverse
at different times are aggregated. Aggregated data about road bumpiness are shown on an interactive online
and made available as Open Data, ready to be reused.
- Freschi, Valerio, et al. “Bootstrap Based
Uncertainty Propagation for Data Quality Estimation in Crowdsensing Systems.” IEEE Access 5 (2017):
- Alessandroni, Giacomo, et al. “
A study on the influence of speed on road roughness sensing: the SmartRoadSense case.” Sensors 17.2
(2017): 305. [BibTex]
- G. Alessandroni et al., “Sensing
road roughness via mobile devices: a study on speed influence”, ISPA 2015. [BibTeX]
- S. Delpriori et al., “Efficient Algorithms for Accuracy Improvement in Mobile Crowdsensing Vehicular
Applications”, UBICOMM 2015 (Best Paper Award!). [BibTeX]
- G. Alessandroni et al., “Demo:
Mobile Crowdsensing of Road Surface Roughness”, MobiSys 2015. [BibTeX]
- V. Freschi et al., “Geospatial data aggregation and reduction in vehicular sensing applications: the
case of road surface monitoring”, IEEE ICCVE 2014. [BibTeX]
- G. Alessandroni et al., “SmartRoadSense: Collaborative Road Surface Condition Monitoring”, UBICOMM 2014.
How to cite this site: A. Bogliolo et al., “The SmartRoadSense website”, http://smartroadsense.it/