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Title On Combining Crowdsourcing, Sensing and Open Data for an Accessible Smart City
ID_Doc 38194
Authors Mirri, S; Prandi, C; Salomoni, P; Callegati, F; Campi, A
Title On Combining Crowdsourcing, Sensing and Open Data for an Accessible Smart City
Year 2014
Published
Abstract This work presents a novel geospatial mapping service, based on OpenStreetMap, which has been designed and developed in order to provide personalized path to users with special needs. This system gathers data related to barriers and facilities of the urban environment via crowdsourcing and sensing done by users. It also considers open data provided by bus operating companies to identify the actual accessibility feature and the real time of arrival at the stops of the buses. The resulting service supports citizens with reduced mobility (users with disabilities and/or elderly people) suggesting urban paths accessible to them and providing information related to travelling time, which are tailored to their abilities to move and to the bus arrival time. The manuscript demonstrates the effectiveness of the approach by means of a case study focusing on the differences between the solutions provided by our system and the ones computed by main stream geospatial mapping services.
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