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Article Dans Une Revue Procedia Computer Science Année : 2018

IoV distributed architecture for real-time traffic data analytics

Résumé

In this paper, we present necessary premises for the deployment of the Internet of Vehicles (IoV) integrating Big Data analytics of road network traffic measurements of the city of Mohammedia, Morocco. Thus, we introduce an architecture based on three main layers such as IoV, Fog Computing and Cloud Computing Layer. We specifically put more focus on Fog Computing layer in which we develop a framework for a real-time collecting and processing events generated by intelligent vehicles as well as visualizing traffic state on each road section. Furthermore, we consider deployment and test of the proposed framework using events retrieved from a Vanets-type micro simulation. Finally, we present and discuss the first obtained results as well as the advantages and limitations of the proposed architecture.

Dates et versions

hal-02021250 , version 1 (15-02-2019)

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Citer

Mohamed Nahri, Azedine Boulmakoul, Lamia Karim, Ahmed Lbath. IoV distributed architecture for real-time traffic data analytics. Procedia Computer Science, 2018, 9th International Conference on Ambient Systems, Networks and Technologies (ANT) / 8th International Conference on Sustainable Energy Information Technology (SEIT) Porto, MAY 08-11, 2018, 130, pp.480-487. ⟨10.1016/j.procs.2018.04.055⟩. ⟨hal-02021250⟩
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