TY - GEN
T1 - Big data harmonization for intelligent mobility
T2 - Confederated International Workshops On the Move to Meaningful Internet Systems, OTM 2016 held as part of EI2N, FBM, ICSP, Meta4eS, and OTMA 2016
AU - Figueiras, Paulo
AU - Guerreiro, Guilherme
AU - Costa, Ruben
AU - Bradesko, Luka
AU - Stojanovic, Nenad
AU - Jardim-Gonçalves, Ricardo
N1 - sem pdf.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The need for interoperability in mobility data is more crucial than ever. Due to a panoply of data sources, from traffic sensors to GPS data, mobility data is increasingly more complex in terms of volume, heterogeneity, availability and quality. To turn such complex data into shareable, meaningful data, interoperability approaches must be implemented, namely through the use of standards. The presented work, aims at developing an approach for transforming and harmonize, traffic related data acquired from highway sensor network, supported by an ITS reference data model (DATEX-II). CRISP-DM methodology is addressed here, as a methodology for guiding the developments of the proposed approach. The main challenge is to cope with a scalable big data- platform for traffic-related data collection, supporting an innovative dynamic toll-charging model in a real-world scenario. This work is supported by a European Commission-funded project, named OPTIMUM, and presents some preliminary results from data harmonization processes developed.
AB - The need for interoperability in mobility data is more crucial than ever. Due to a panoply of data sources, from traffic sensors to GPS data, mobility data is increasingly more complex in terms of volume, heterogeneity, availability and quality. To turn such complex data into shareable, meaningful data, interoperability approaches must be implemented, namely through the use of standards. The presented work, aims at developing an approach for transforming and harmonize, traffic related data acquired from highway sensor network, supported by an ITS reference data model (DATEX-II). CRISP-DM methodology is addressed here, as a methodology for guiding the developments of the proposed approach. The main challenge is to cope with a scalable big data- platform for traffic-related data collection, supporting an innovative dynamic toll-charging model in a real-world scenario. This work is supported by a European Commission-funded project, named OPTIMUM, and presents some preliminary results from data harmonization processes developed.
KW - Big data
KW - Data fusion
KW - DATEX II
KW - Intelligent Transportation Systems
KW - Interoperability
UR - http://www.scopus.com/inward/record.url?scp=85018519370&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-55961-2_8
DO - 10.1007/978-3-319-55961-2_8
M3 - Conference contribution
AN - SCOPUS:85018519370
SN - 978-3-319-55960-5
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 76
EP - 86
BT - On the Move to Meaningful Internet Systems
PB - Springer Verlag
Y2 - 24 October 2016 through 28 October 2016
ER -