• DocumentCode
    2498743
  • Title

    Urban and social sensing for sustainable mobility in smart cities

  • Author

    Anastasi, Giuseppe ; Antonelli, Maximiliano ; Bechini, Alessio ; Brienza, Simone ; D´Andrea, Eleonora ; De Guglielmo, Domenico ; Ducange, Pietro ; Lazzerini, Beatrice ; Marcelloni, Francesco ; Segatori, Armando

  • Author_Institution
    Dipt. di Ing. dell´Inf., Univ. di Pisa, Pisa, Italy
  • fYear
    2013
  • fDate
    30-31 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • 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.
  • Keywords
    data mining; intelligent transportation systems; road accidents; road safety; road traffic; sustainable development; traffic engineering computing; SMARTY project; accidents; data mining techniques; demonstrations; environmental sensor; multimodality; parking lots; smart cities; smart transport for sustainable city; social sensing; social sensor; special events; sustainable mobility; sustainable transport; traffic flow; urban sensing; Accidents; Cities and towns; Data mining; Real-time systems; Sensors; Smart phones; Social network services; Data Mining; Smart Cities; Social Sensing; Urban Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Internet and ICT for Sustainability (SustainIT), 2013
  • Conference_Location
    Palermo
  • Type

    conf

  • DOI
    10.1109/SustainIT.2013.6685198
  • Filename
    6685198