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A Synergistic Elixir-EDA-MQTT Framework for Advanced Smart Transportation Systems

Author

Listed:
  • Yushan Li

    (Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima 739-0046, Japan
    Department of Information Engineering, Hiroshima University, Higashi-Hiroshima 739-0046, Japan)

  • Satoshi Fujita

    (Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima 739-0046, Japan
    Department of Information Engineering, Hiroshima University, Higashi-Hiroshima 739-0046, Japan)

Abstract

This paper proposes a novel event-driven architecture for enhancing edge-based vehicular systems within smart transportation. Leveraging the inherent real-time, scalable, and fault-tolerant nature of the Elixir language, we present an innovative architecture tailored for edge computing. This architecture employs MQTT for efficient event transport and utilizes Elixir’s lightweight concurrency model for distributed processing. Robustness and scalability are further ensured through the EMQX broker. We demonstrate the effectiveness of our approach through two smart transportation case studies: a traffic light system for dynamically adjusting signal timing, and a cab dispatch prototype designed for high concurrency and real-time data processing. Evaluations on an Apple M1 chip reveal consistently low latency responses below 5 ms and efficient multicore utilization under load. These findings showcase the system’s robust throughput and multicore programming capabilities, confirming its suitability for real-time, distributed edge computing applications in smart transportation. Therefore, our work suggests that integrating Elixir with an event-driven model represents a promising approach for developing scalable, responsive applications in edge computing. This opens avenues for further exploration and adoption of Elixir in addressing the evolving demands of edge-based smart transportation systems.

Suggested Citation

  • Yushan Li & Satoshi Fujita, 2024. "A Synergistic Elixir-EDA-MQTT Framework for Advanced Smart Transportation Systems," Future Internet, MDPI, vol. 16(3), pages 1-23, February.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:3:p:81-:d:1347782
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    References listed on IDEAS

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    1. Zhao, Congyu & Wang, Kun & Dong, Xiucheng & Dong, Kangyin, 2022. "Is smart transportation associated with reduced carbon emissions? The case of China," Energy Economics, Elsevier, vol. 105(C).
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