Mobilità e Turismo (Mobility and Turism)

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Mobility in urban areas poses serious problems to both the local administration and to who is having to move within the city either citizen or tourist. The situation becomes more complicated in those cities or areas where traffic produced by residents overlaps massive flows of tourists. MOTUS aims to improve the management, Sustainability and eco-compatible mobility in urban area through a paradigm that puts the citizen at the center as a user and a producer of mobility services. MOTUS is a service platform capable of detecting, aggregate and interpret urban mobility in real time from information from heterogeneous infrastructure existing in the territory and data from mobile devices present in areas of interest. MOTUS will be able to work on innovative mobile data in order to develop traffic models on which to build services for monitoring and planning that can be used for planning interventions to improve infrastructure and existing services. MOTUS undoubtedly represents the first experience of Infomobility 2.0, where the services consider the citizen not as a passive element that enforce rules and prohibitions but an important element of the management of urban mobility. By providing himself information about the status of urban mobility, with the opportunity to reschedule his movements, the citizen becomes an active articipant in the improvement of mobility. Also tourists become probe for the detection of tourist flows and provider of information content and value-added information and content. We can then see MOTUS as a circular process where all actors participate actively in a process no longer unidirectional but collaborative.
Gabbrielli, M., B. Furletti, F. Giannotti, M. Nanni, and S. Rinzivillo, "Use of Mobile Phone Data to Estimate Visitors Mobility Flows", Software Engineering and Formal Methods, vol. 8938, no. Lecture Notes in Computer Science: Springer International Publishing, pp. 214-226, 2015.
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Acronym
MOTUS
Web Site
Start Date
1 April 2009
End Date
30 September 2014
Type
Area
Affiliation
Department of Computer Science, University of Pisa (DI-UNIPI)
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)