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Artificial intelligence and machine learning applications in freight transport

In: Handbook on Artificial Intelligence and Transport

Author

Listed:
  • Yijie Su
  • Hadi Ghaderi
  • Hussein Dia

Abstract

The advancement of technology and data analytics has led to an increasing interest in using artificial intelligence (AI) to address the challenges in freight transportation presented by surging demand and globally complex operations. This chapter aims to provide a systematic literature review of state-of-the-art AI applications in freight transport, based on a total of 101 journal articles published between 2012 and 2022. The bibliometric characteristics of the extant literature are analysed and discussed, providing insights into the cognitive structure of the discipline over the last decade. The related AI approaches are then introduced, followed by a classification of studies based on five distinct application areas. This chapter aims to establish a comprehensive understanding of existing AI applications with potential value for performing freight transport tasks more efficiently and safely. Finally, the chapter concludes with a discussion related to existing opportunities and barriers for the widescale deployment of AI-based applications in the freight industry.

Suggested Citation

  • Yijie Su & Hadi Ghaderi & Hussein Dia, 2023. "Artificial intelligence and machine learning applications in freight transport," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 10, pages 285-322, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:21868_10
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    File URL: https://www.elgaronline.com/doi/10.4337/9781803929545.00019
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