交通运输研究2025，Vol.11Issue(4)：104-112,9.DOI:10.16503/j.cnki.2095-9931.2025.04.009
基于大数据的港口运输距离测算模型构建
Construction of Port Transportation Distance Calculation Model Based on Big Data
摘要
Abstract
In order to realize the dynamic update of the national port transportation distance,reduce the manual dependence,and calculate the waterway transportation turnover more timely and efficiently,this paper carries out the construction and application research of the calculation model of the inter port transportation distance based on the big data of the waterway transportation business.Firstly,the contents and characteristics of the AIS(Automatic Identification System)data and the port entry and exit report data are systematically analyzed,and the correlation between the two types of data is clarified.Secondly,a correlation analysis method based on water transportation big data fusion is proposed.Combined with route accessibility and transportation frequency,DBSCAN(Density-Based Spatial Clustering of Applications with Noise)clustering algorithm is used to identify the core port nodes,and the calculation model of port transportation distance based on the actual navigation path is constructed.Finally,typical inland ports and coastal ports are selected for empirical analysis.The results show that the error between the model calculation results and the measured results is less than 5%,which has high accuracy.The research results can provide scientific basis for waterway transportation planning,capacity scheduling and turnover statistics,and provide technical reference for smart port construction and shipping big data application.关键词
AIS数据/进出港报告数据/港口间运输距离/DBSCAN聚类算法/船舶航行轨迹Key words
AIS data/port entry and exit report data/transportation distance between ports/DBSCAN clustering algorithm/ship track分类
交通工程引用本文复制引用
张凤,叶劲松,杨艳芳,刘晗,李洪囤,王松涛..基于大数据的港口运输距离测算模型构建[J].交通运输研究,2025,11(4):104-112,9.基金项目
中央级公益性科研院所基本科研业务费项目(20231210) （20231210）
