| Abstract |
In the context of smart city, real-time routing and traffic prediction applications have specific requirements as for their needed input data, shaping, and efficient retrieval. The recent applications and services need to have integrated data store for efficient data access and deduction. The models at the state of the art are not satisfactory. Therefore, Sii-Mobility research and development project of Italian Ministry has developed a new model ontology, named the Km4City. It makes possible, among several services also the routing and traffic reconstruction. In the paper, the model identified and processes for knowledge base construction are described. The process takes into account Open Street Map, open data, and real-time data from sensors, mobility and transport operator in multiple formats and protocols, to load them into Km4City KB. A Traffic Reconstruction solution based on differential equations has been also presented. The data model and the solution developed with related algorithms are part of Km4City (www.km4city.org), and accessible for test and usage from Http://servicemap.km4city.org and from Http://firenzetraffic.km4city.org applied in Tuscany whole, one of the larges regions in Italy. |
