TY - GEN
T1 - Knowledge modeling and management for mobility and transport applications
AU - Bellini, Pierfrancesco
AU - Bilotta, Stefano
AU - Cenni, Daniele
AU - Nesi, Paolo
AU - Paolucci, Michela
AU - Soderi, Mirco
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/15
Y1 - 2018/11/15
N2 - 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.
AB - 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.
KW - Big data
KW - Data model
KW - Smart city
KW - Traffic flow reconstruction
KW - Transportation
UR - http://www.scopus.com/inward/record.url?scp=85059776971&partnerID=8YFLogxK
U2 - 10.1109/CIC.2018.00055
DO - 10.1109/CIC.2018.00055
M3 - Conference Publication
AN - SCOPUS:85059776971
T3 - Proceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
SP - 364
EP - 371
BT - Proceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
Y2 - 18 October 2018 through 20 October 2018
ER -
