This paper probes into the evolving research surrounding the application of artificial intelligence (AI) technology in waterway transportation. To undertake this exploration, this study has compiled 275 articles, spanning from January 2014 to May 2024, sourced from the Web of Science (WoS) core collection, encompassing both the Science Citation Index Expanded (SCI-EXPANDED) and Social Science Citation Index (SCI). Leveraging a bibliometric approach for visualization analysis, this review uncovers the application scenarios of AI technology in waterway transportation and its profound benefits. Through rigorous analysis of the number of annual publications, distribution of journals, core authors and key words, the findings underscore AI's emergence as a pivotal force in optimizing and elevating the intelligence of waterway transportation. Overall, this noteworthy technological advancement brings new methods to enhance efficiency, safety, and sustainability in waterway transportation, while this review aids researchers in comprehending the current state and evolving trends of AI technology in shipping and contributing to the continued progress of the field.
No takes yet. Share an insight, caveat, or question.
Wu et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: