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Kemp, Gavin , Ferreira da Silva, C., Vargas-Solar, G., Ghodous, P., Collet, C. & López Amaya, P. (2015). Towards Cloud big data services for intelligent transport systems. In  Richard Curran, Nel Wognum, Milton Borsato, Josip Stjepandić, Wim J.C. Verhagen (Ed.), Proc. of Concurrent Engineering, Advances in Transdisciplinary Engineering, Vol. 2: Transdisciplinary Lifecycle Analysis of Systems. (pp. 377-385). Delft: IOS Press.

G. Kemp et al.,  "Towards Cloud big data services for intelligent transport systems", in Proc. of Concurrent Engineering, Advances in Transdisciplinary Engineering, Vol. 2: Transdisciplinary Lifecycle Analysis of Systems,  Richard Curran, Nel Wognum, Milton Borsato, Josip Stjepandić, Wim J.C. Verhagen, Ed., Delft, IOS Press, 2015, vol. 2, pp. 377-385

@inproceedings{kemp2015_1730766242622,
	author = "Kemp, Gavin  and Ferreira da Silva, C. and Vargas-Solar, G. and Ghodous, P. and Collet, C. and López Amaya, P.",
	title = "Towards Cloud big data services for intelligent transport systems",
	booktitle = "Proc. of Concurrent Engineering, Advances in Transdisciplinary Engineering, Vol. 2: Transdisciplinary Lifecycle Analysis of Systems",
	year = "2015",
	editor = " Richard Curran, Nel Wognum, Milton Borsato, Josip Stjepandić, Wim J.C. Verhagen",
	volume = "2",
	number = "",
	series = "",
	doi = "10.3233/978-1-61499-544-9-377",
	pages = "377-385",
	publisher = "IOS Press",
	address = "Delft",
	organization = "International Society for Productivity Enhancement",
	url = "http://ebooks.iospress.nl/publication/39988"
}

TY  - CPAPER
TI  - Towards Cloud big data services for intelligent transport systems
T2  - Proc. of Concurrent Engineering, Advances in Transdisciplinary Engineering, Vol. 2: Transdisciplinary Lifecycle Analysis of Systems
VL  - 2
AU  - Kemp, Gavin 
AU  - Ferreira da Silva, C.
AU  - Vargas-Solar, G.
AU  - Ghodous, P.
AU  - Collet, C.
AU  - López Amaya, P.
PY  - 2015
SP  - 377-385
DO  - 10.3233/978-1-61499-544-9-377
CY  - Delft
UR  - http://ebooks.iospress.nl/publication/39988
AB  - In later years, the increase in computation power and data storage has opened new perspectives to data analysis. The possibility to analyse big data brings new insights into obscure and useful correlations in data providing undiscovered knowledge. Applying big data analytics to the transport data has brought better understanding to the transports network revealing unexpected choking points in cities. This technology is still largely inaccessible to small companies due to their limited computational resources and complex for large ones due to the time needed to develop a big data analytical system Using the high scalability of Cloud and the use of specialized services in a services oriented architecture, new perspective are to developing efficient and scalable big data infrastructure adapted to transport systems. This paper presents a big data infrastructure using service oriented architecture.
ER  -