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<p>This work presents an innovative approach for identifying technological trends in big data applications within the transportation sector, using a Large Language Model (LLM)-based system. It explores recent and groundbreaking applications of big data in transportation, providing an overview and categorization of these applications based on data sources, methodologies, tools, and technologies. Additionally, this paper introduces a novel use case for leveraging LLMs. It identifies technological trends in active companies within the Intelligent Transportation Systems (ITS) industry, an approach not previously documented in the literature. Findings reveal that Google Big Query and Apache Kafka are widely used big data technologies in transportation and ITS, while Google Cloud Platform and Amazon Web Services are the primary choices for cloud computing. Python and Java emerge as the dominant programming languages in this domain. The study also compares technologies extracted by the developed RAG system with those identified through human annotation, concluding that while the RAG system accurately extracted annotated technologies in a sample job posting, it also displayed instances of hallucination.</p>

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Big Data Technology Trends in Transportation Leveraging a Large Language Model-Based System

  • 期刊论文

  • 发表日期：

    2025年3月8日

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  • Hamed Shahrokhi Shahraki,
  • Abbas Babazadeh

摘要

This work presents an innovative approach for identifying technological trends in big data applications within the transportation sector, using a Large Language Model (LLM)-based system. It explores recent and groundbreaking applications of big data in transportation, providing an overview and categorization of these applications based on data sources, methodologies, tools, and technologies. Additionally, this paper introduces a novel use case for leveraging LLMs. It identifies technological trends in active companies within the Intelligent Transportation Systems (ITS) industry, an approach not previously documented in the literature. Findings reveal that Google Big Query and Apache Kafka are widely used big data technologies in transportation and ITS, while Google Cloud Platform and Amazon Web Services are the primary choices for cloud computing. Python and Java emerge as the dominant programming languages in this domain. The study also compares technologies extracted by the developed RAG system with those identified through human annotation, concluding that while the RAG system accurately extracted annotated technologies in a sample job posting, it also displayed instances of hallucination.