Road traffic injuries are a critical public health challenge that requires valuable efforts for effective and sustainable prevention. Worldwide, an estimated 1.2 million people are killed in road crashes each year and as many as 50 million are injured. An analysis of data provided by authoritative sources can be a valuable source for understanding which are the most critical points on the road network. The aim of this paper is to discover data about road accidents in Italy and to provide useful visualization for improving road safety. Starting from the annual report of road accidents of the Automobile Club of Italy, we transform the original data into an RDF dataset according to the Linked Open Data principles and connect it to external datasets. Then, an integration with Open Street Map allows to display the accident data on a map. Here, the final user is able to identify which road sections are most critical based on the number of deaths, injuries or accidents.
Managing Road Safety through the Use of Linked Data and Heat Maps / Colacino, Vincenzo Giuseppe; Po, Laura. - 129475(2017), pp. 1-8. ((Intervento presentato al convegno 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 tenutosi a ita nel 2017.
Data di pubblicazione: | 2017 |
Titolo: | Managing Road Safety through the Use of Linked Data and Heat Maps |
Autore/i: | Colacino, Vincenzo Giuseppe; Po, Laura |
Autore/i UNIMORE: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1145/3102254.3102273 |
Codice identificativo Scopus: | 2-s2.0-85028325859 |
Nome del convegno: | 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 |
Luogo del convegno: | ita |
Data del convegno: | 2017 |
Volume: | 129475 |
Pagina iniziale: | 1 |
Pagina finale: | 8 |
Citazione: | Managing Road Safety through the Use of Linked Data and Heat Maps / Colacino, Vincenzo Giuseppe; Po, Laura. - 129475(2017), pp. 1-8. ((Intervento presentato al convegno 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 tenutosi a ita nel 2017. |
Tipologia | Relazione in Atti di Convegno |
File in questo prodotto:
File | Descrizione | Tipologia | |
---|---|---|---|
wims2017.pdf | Post-print dell'autore (bozza post referaggio) | Open Access Visualizza/Apri |

I documenti presenti in Iris Unimore sono rilasciati con licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia, salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris