Reconstruction of maritime route network in nearshore waters with noise removal using step-by-step density-based clustering
文献类型：期刊论文
| 作者 | Pan, Jiale2; Yang, Kuan2; Yang, Fanlin2; Yang, Jian3; Li, Tingting3; Xin, Rui1,2 |
| 刊名 | CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE
 |
| 出版日期 | 2025-09-05 |
| 卷号 | N/A |
| 关键词 | Maritime transportation network route extraction sub-trajectory clustering S-2-DBSCAN algorithm Delaunay triangulation |
| ISSN号 | 1523-0406 |
| DOI | 10.1080/15230406.2025.2537980 |
| 产权排序 | 3 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | The increasing volume of marine traffic has significantly heightened the risk of accidents in nearshore and confined waters. While previous studies have primarily focused on large-scale maritime route networks, they often overlook the detailed delineation of ship channel profiles and centerlines. In high-risk areas, accurately mapping ship channel outlines and primary routes is crucial for traffic safety and route selection. Thus, this paper proposes a method for modeling maritime route networks in high-risk areas using Automatic Identification System data and Step-by-step Density-Based Spatial Clustering of Applications with Noise (S-2-DBSCAN). First, stay trajectories are cleaned, and anomalies are identified. Then, three trajectory similarity metrics Hausdorff distance, Course Over Ground (COG) similarity of key turning points, and average COG similarity are used to design the S-2-DBSCAN algorithm for trajectory clustering. Finally, the centerline of clusters is extracted using constrained Delaunay triangulation to form the route network. Experimental results on real data demonstrate that our method effectively removes noise and extracts the route network from ship trajectory clusters. In particular, the identified directional routes accurately represent ships' true positions and movement patterns in geospatial space. This enhances route selection in busy waters, supports risk avoidance strategies, and aids maritime regulation. |
| URL标识 | 查看原文 |
| WOS关键词 | SHIP ; ALGORITHM |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:001566422300001 |
| 出版者 | TAYLOR & FRANCIS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216097]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Xin, Rui |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao, Peoples R China; 3.Informat Engn Univ, Sch Geospatial Informat, Zhengzhou, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Pan, Jiale,Yang, Kuan,Yang, Fanlin,et al. Reconstruction of maritime route network in nearshore waters with noise removal using step-by-step density-based clustering[J]. CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE,2025,N/A. |
| APA | Pan, Jiale,Yang, Kuan,Yang, Fanlin,Yang, Jian,Li, Tingting,&Xin, Rui.(2025).Reconstruction of maritime route network in nearshore waters with noise removal using step-by-step density-based clustering.CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE,N/A. |
| MLA | Pan, Jiale,et al."Reconstruction of maritime route network in nearshore waters with noise removal using step-by-step density-based clustering".CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE N/A(2025). |
入库方式： OAI收割
来源：地理科学与资源研究所
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