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Communication Dans Un Congrès Année : 2023

Towards Edge-Based Data Lake Architecture for Intelligent Transportation System

Résumé

The rapid urbanization growth has underscored the need for innovative solutions to enhance transportation efficiency and safety. Intelligent Transportation Systems (ITS) have emerged as a promising solution in this context. However, analyzing and processing the massive and intricate data generated by ITS presents significant challenges for traditional data processing systems. This work proposes an Edge-based Data Lake Architecture to integrate and analyze the complex data from ITS efficiently. The architecture offers scalability, fault tolerance, and performance, improving decisionmaking and enhancing innovative services for a more intelligent transportation ecosystem. We demonstrate the effectiveness of the architecture through an analysis of three different use cases: (i) Vehicular Sensor Network, (ii) Mobile Network, and (iii) Driver Identification applications.
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Dates et versions

hal-04269534 , version 1 (03-11-2023)

Identifiants

Citer

Danilo Fernandes, Douglas L. L. Moura, Gean Santos, Geymerson S. Ramos, Fabiane Queiroz, et al.. Towards Edge-Based Data Lake Architecture for Intelligent Transportation System. PE-WASUN'23: ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, Oct 2023, Montreal, Quebec, Canada. pp.1-8, ⟨10.1145/3616394.3618270⟩. ⟨hal-04269534⟩
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