Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation

doi:10.1016/j.aei.2025.103633

	Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation
	Wang, Peng 1,2; Hu, Qinyou 2; Mei, Qiang 3; Wang, Shaohua 4,5; Yang, Yang 6; Guo, Da 7; Liu, Xiaotong 8; Hu, Wenlong 9; Chen, Jihong 10
	2025-11-01
发表期刊	ADVANCED ENGINEERING INFORMATICS
ISSN	1474-0346
卷号	68 页码:28
摘要	Efficient berth allocation is crucial for optimizing port logistics, directly impacting ship loading, refueling, and sheltering operations while enhancing the overall efficiency of maritime logistics systems. However, the inherent uncertainty of ship arrival times often leads to inefficiencies, such as "ships waiting for berths" or "berths waiting for ships," negatively affecting port operations and economic performance. Existing berth allocation models struggle to fully capture the dynamic and complex interactions between ships and berths, particularly under spatiotemporal constraints and fluctuating maritime conditions. To address these challenges, this study proposes an intelligent berth recommendation framework, STK-LLM, which integrates Spatiotemporal Knowledge Graphs and AI-Agents. This framework constructs structured spatiotemporal triplet models to represent ship-berth interactions and employs AI-driven decision-making to enhance berth allocation strategies. An empirical analysis covering 10 ports, 49 port areas, and 2,180 berths in the Yangtze River Delta reveals competitive and cooperative berth allocation dynamics. The results indicate that the STK-LLM framework reduces ship waiting times at anchorages by approximately 20% and increases berth utilization by about 15%. This study advances intelligent port logistics by providing data-driven decision support, improving berth resource efficiency. By addressing the challenges of modeling and optimizing complex, dynamic, and uncertain ship-berth interactions-difficulties that have hindered previous berth allocation models-this framework enhances the performance of maritime logistics systems.
关键词	Spatiotemporal knowledge graph Intelligent berth allocation Multi-agent LLMs Port logistics Yangtze River Delta
DOI	10.1016/j.aei.2025.103633
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2023YFF0805904] ; Talent introduction Program Youth Project of the Chinese Academy of Sciences[E43302020D] ; Talent introduction Program Youth Project of the Chinese Academy of Sciences[E2Z105010F] ; National Natural Science Foundation of China[52472325]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Multidisciplinary
WOS记录号	WOS:001546265700001
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42007
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Shaohua; Chen, Jihong
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Shanghai Maritime Univ, Merchant Marine Acad, Shanghai 200210, Peoples R China 3.Jimei Univ, Nav Coll, Xiamen 361021, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 6.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China 7.Beijing Univ Posts & Telecommun, Beijing Key Lab Work Safety Intelligent Monitoring, Beijing 100876, Peoples R China 8.Beijing Univ Technol, Beijing 100124, Peoples R China 9.Univ Auckland, Sch Comp Sci, Auckland, New Zealand 10.Shenzhen Univ, Coll Management, Shenzhen 518073, Peoples R China
推荐引用方式 GB/T 7714	Wang, Peng,Hu, Qinyou,Mei, Qiang,et al. Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation[J]. ADVANCED ENGINEERING INFORMATICS,2025,68:28.
APA	Wang, Peng.,Hu, Qinyou.,Mei, Qiang.,Wang, Shaohua.,Yang, Yang.,...&Chen, Jihong.(2025).Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation.ADVANCED ENGINEERING INFORMATICS,68,28.
MLA	Wang, Peng,et al."Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation".ADVANCED ENGINEERING INFORMATICS 68(2025):28.