Crowdsourcing and crowdsensing are social innovation paradigms that, through the participation of active citizens, allow communities to contribute to a shared goal and provide people with tools with the capacity to positively impacting society. Mobile crowdsensing in particular takes advantage of pervasive mobile devices with on-board sen- sors to enable efficient and inexpensive large-scale data collection. In this paper we present results from several public pilots of a crowdsensing system deployed with the purpose of collecting road quality data thanks to accelerometer data from mobile smartphones. We il- lustrate several approaches that aim at evaluating the quality of collected information and correlating it with real “ground truth” data from a variety of sources. Proposed approaches are evaluated in terms of effectiveness and applicability in exploitation processes by public administrations or other road maintenance entities.

Crowdsensing for road sustainability: validation of publicly sourced data for exploitation

Klopfenstein, Cuno Lorenz
;
Delpriori, Saverio;Bogliolo, Alessandro;
2018

Abstract

Crowdsourcing and crowdsensing are social innovation paradigms that, through the participation of active citizens, allow communities to contribute to a shared goal and provide people with tools with the capacity to positively impacting society. Mobile crowdsensing in particular takes advantage of pervasive mobile devices with on-board sen- sors to enable efficient and inexpensive large-scale data collection. In this paper we present results from several public pilots of a crowdsensing system deployed with the purpose of collecting road quality data thanks to accelerometer data from mobile smartphones. We il- lustrate several approaches that aim at evaluating the quality of collected information and correlating it with real “ground truth” data from a variety of sources. Proposed approaches are evaluated in terms of effectiveness and applicability in exploitation processes by public administrations or other road maintenance entities.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11576/2661312
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