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

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 archite...

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Bibliographic Details
Published inFuture internet Vol. 16; no. 3; p. 81
Main Authors Li, Yushan, Fujita, Satoshi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2024
Subjects
Brokers
Case studies
Cloud computing
Communication
Computer architecture
Concurrency
Data analysis
Data processing
Distributed processing
Edge computing
Efficiency
Elixir
Embedded systems
event-driven architecture
Fault tolerance
Geospatial data
Internet of Things
Language
Real time
Smart cities
smart transportation
Traffic control
Traffic flow
Traffic signals
Transportation
Transportation industry
Transportation systems
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Summary: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.
ISSN:1999-5903
1999-5903
DOI:10.3390/fi16030081