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
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;
Conference_Titel :
Sustainable Internet and ICT for Sustainability (SustainIT), 2013
Conference_Location :
Palermo
DOI :
10.1109/SustainIT.2013.6685198
