Crowdsensing and proximity services for impaired mobility
作者： Jacopo Cortellazzi , Luca Foschini , Carlos Roberto De Rolt , Antonio Corradi , Carlos Augusto Alperstedt Neto
DOI: 10.1109/ISCC.2016.7543712
关键词: Big data 、 Data science 、 Computer science 、 Telecommunications 、 Server 、 Government 、 Open platform 、 Crowdsensing 、 Geographic information system 、 Information system 、 Crowdsourcing
摘要: New sensors embedded into modern smartphones has led a new data collection prospective in which people directly collect all the sensitive data. This feature found different applications, particular Smart Cities area, order to establish dynamic communications between citizens and city government. category of application is nestled Mobile Crowd Sensing (MCS) group, due their final purpose sharing sensing an open platform that includes huge number people. paper presents extension general-purpose ParticipAct platform, MCS developed by University Bologna, focused on needs with impaired mobility. The goal specializing enable crowdsourcing guarantees solid support for lifetime allowing reviewing opinions regarding public private places architectonic barriers area. Showed results confirm effectiveness terms both its viability via integration existing widely diffused Geographical Information Systems (GIS), feasibility system user-perceived performances.
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