Export Publication

The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Kemp, G., Vargas-Solar, G., Ferreira da Silva, C., Ghodous, P., Collet, C. & López Amaya, P. (2016). Cloud big data application for transport. International Journal of Agile Systems and Management. 9 (3), 232-250
Export Reference (IEEE) 
G. Kemp et al.,  "Cloud big data application for transport", in Int. Journal of Agile Systems and Management, vol. 9, no. 3, pp. 232-250, 2016
Export BibTeX 
@article{kemp2016_1777285607543,
	author = "Kemp, G. and Vargas-Solar, G. and Ferreira da Silva, C. and Ghodous, P. and Collet, C. and López Amaya, P.",
	title = "Cloud big data application for transport",
	journal = "International Journal of Agile Systems and Management",
	year = "2016",
	volume = "9",
	number = "3",
	doi = "10.1504/IJASM.2016.079940",
	pages = "232-250",
	url = "http://www.inderscience.com/offer.php?id=79940"
}
Export RIS 
TY  - JOUR
TI  - Cloud big data application for transport
T2  - International Journal of Agile Systems and Management
VL  - 9
IS  - 3
AU  - Kemp, G.
AU  - Vargas-Solar, G.
AU  - Ferreira da Silva, C.
AU  - Ghodous, P.
AU  - Collet, C.
AU  - López Amaya, P.
PY  - 2016
SP  - 232-250
SN  - 1741-9174
DO  - 10.1504/IJASM.2016.079940
UR  - http://www.inderscience.com/offer.php?id=79940
AB  - This paper presents a cloud service-oriented approach for managing and analysing  big  data  required  by  transport  applications.  Big data  analytics brings new insights and useful correlations of large data collections providing undiscovered knowledge.   Applying   it   to   transport systems brings   better   understanding to the transport networks revealing unexpected choking points in cities.  This  facility is  still  largely  inaccessible  to  small  companies due  to  their  limited access to computational resources. A cloud-oriented architecture opens new perspectives for providing efficient and personalised big data management and analytics services to (small) companies.
ER  -