Traffic congestions cost billions of dollars to the society every year and are often aggravated by road users looking for parking. One way of alleviating the parking problem is providing decision makers of smart cities with powerful exploratory tools to analyse the data and find more effective solutions. This paper proposes a novel visual analytics tool for decision makers that allows multigranular spatio-temporal on-street parking data exploration. Even if the tool has been designed to deal with on-street parking data, it relies on a generic logic that makes it adaptable to more general spatio-temporal datasets.
Multigranular spatio-temporal exploration: An application to on-street parking data / Robino, Camilla; Di Rocco, Laura; Di Martino, Sergio; Guerrini, Giovanna; Bertolotto, Michela. - 10819:(2018), pp. 90-100. (Intervento presentato al convegno 16th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2018 tenutosi a La Coruna, Spagna nel 2018) [10.1007/978-3-319-90053-7_10].
Multigranular spatio-temporal exploration: An application to on-street parking data
Di Martino, Sergio;
2018
Abstract
Traffic congestions cost billions of dollars to the society every year and are often aggravated by road users looking for parking. One way of alleviating the parking problem is providing decision makers of smart cities with powerful exploratory tools to analyse the data and find more effective solutions. This paper proposes a novel visual analytics tool for decision makers that allows multigranular spatio-temporal on-street parking data exploration. Even if the tool has been designed to deal with on-street parking data, it relies on a generic logic that makes it adaptable to more general spatio-temporal datasets.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
