Cloud big data application for transport

Gavin Kemp (1, 2, 3) , Genoveva Vargas-Solar (4) , Catarina Ferreira da Silva (2, 3, 1) , Parisa Ghodous (3) , Christine Collet (5) , Pedropablo López Amaya (2, 1)

1 UCBL - Université Claude Bernard Lyon 1
2 Université de Lyon
3 SOC - Service Oriented Computing
4 HADAS - Heterogeneous and Adaptive distributed DAta management Systems
5 Grenoble Institute of Technology

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.

Mots clés: NoSQL; Intelligent transport system; Big data; Cloud services

Domaines: Sciences de l'information et de la communication

Gavin Kemp, Genoveva Vargas-Solar, Catarina Ferreira da Silva, Parisa Ghodous, Christine Collet, et al.. Cloud big data application for transport. International Journal of Agile Systems and Management, 2016, International Journal of Agile Systems and Management, 9 (3), pp.232-250. ⟨10.1504/IJASM.2016.079940⟩. ⟨hal-01374885⟩