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Abstract

In this contribution, we describe the SMARTY project. The project is funded by the Tuscany Region and aims to develop innovative services for sustainable transport and mobility in smart cities. These services are based on data collected by environmental and social sensors: such data are pre-processed and analysed by data mining techniques for determining useful information such as state of the traffic flow and parking lots, special events, demonstrations and accidents. All this information is used by SMARTY to suggest optimal routes to the users, taking also the multi-modality into account.


Original document

The different versions of the original document can be found in:

https://arpi.unipi.it/handle/11568/627476,
https://ieeexplore.ieee.org/document/6685198,
https://doi.org/10.1109/SustainIT.2013.6685198,
https://flore.unifi.it/handle/2158/921739,
https://dblp.uni-trier.de/db/conf/ifip6-3/sustainit2013.html#AnastasiABBDGDLMS13,
https://academic.microsoft.com/#/detail/2035299451
http://dx.doi.org/10.1109/sustainit.2013.6685198
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Published on 01/01/2013

Volume 2013, 2013
DOI: 10.1109/sustainit.2013.6685198
Licence: CC BY-NC-SA license

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