A Mobile Application for the Crowdsensing of Road Pavements Conditions

Urban environments face significant challenges due to deteriorating road pavements, affecting all transportation modes' safety and comfort. Traditional methods of road assessment are costly and infrequent, but advancements in mobile technology and crowdsensing offer real-time, large-scale data collection solutions. This paper introduces “ShakeSensing”, a mobile application that uses Android device sensors to measure vibrations experienced by cyclists and scooter users, providing insights into road quality. The collected data, analyzed to assess road conditions, can benefit both users and municipal authorities, promoting safer and more comfortable travel.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10976023
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

A Mobile Application for the Crowdsensing of Road Pavements Conditions

Nadia Bartolucci, Silvia Mirri, Paola Salomoni, Giovanni Delnevo et al.
Evacuation and Crowd Dynamics
article

A Mobile Application for the Crowdsensing of Road Pavements Conditions

Nadia Bartolucci, Silvia Mirri, Paola Salomoni, Giovanni Delnevo, Catia Prandi
article en

Abstract

Urban environments face significant challenges due to deteriorating road pavements, affecting all transportation modes' safety and comfort. Traditional methods of road assessment are costly and infrequent, but advancements in mobile technology and crowdsensing offer real-time, large-scale data collection solutions. This paper introduces “ShakeSensing”, a mobile application that uses Android device sensors to measure vibrations experienced by cyclists and scooter users, providing insights into road quality. The collected data, analyzed to assess road conditions, can benefit both users and municipal authorities, promoting safer and more comfortable travel.

University of Bologna (IT)
European Commission
Sustainable cities and communities
Openalex Percentile: Top 88%
Evacuation and Crowd Dynamics
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