BigDataFr recommends: Towards Cloud big data services for intelligent transport systems
Abstract
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.
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By Gavin Kemp 1 Genoveva Vargas-Solar 2, 3 Catarina Ferreira da Silva 1 Parisa Ghodous 1 Christine Collet 2 Pedropablo Lopez 1 et al.. Towards Cloud big data services for intelligent transport systems. concurrent engineering 2015, Jul 2015, Delft, Netherlands.
Source: hal.archives-ouvertes.fr
1 LIRIS – Laboratoire d’InfoRmatique en Image et Systèmes d’information
2 LIG Laboratoire d’Informatique de Grenoble – HADAS
3 LAFMIA – Laboratoire Franco-Mexicain d’Informatique et d’Automatique