Traffic complexity assessment on the malacca strait with traffic zone matrix based on AIS data

被引：6

作者：

Liu, Dapei ^{[1
]}

Liu, Zihao ^{[2
]}

Kang, Hooi-Siang ^{[3
]}

Siow, Chee-Loon ^{[3
]}

Soares, C. Guedes ^{[1
]}

机构：

[1] Univ Tecn Lisboa, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, Ave Rovisco Pais, P-1049001 Lisbon, Portugal

[2] Dalian Maritime Univ, Nav Coll, Dalian 116026, Liaoning, Peoples R China

[3] Univ Teknol Malaysia, Inst Vehicle Syst & Engn, Fac Mech Engn, Marine Technol Ctr, Johor Baharu, Malaysia

来源：

OCEAN ENGINEERING | 2024年 / 314卷

关键词：

Maritime traffic complexity; AIS data; Radial basis function; Radial distribution function; Malacca strait; SHIP COLLISION RISK;

D O I：

10.1016/j.oceaneng.2024.119687

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

This study proposes a novel and feasible framework for assessing maritime traffic complexity, utilising historical Automatic Identification System data to extract dynamic traffic characteristics of sea waters and quantify the corresponding maritime traffic complexity. The processed historical statistics are initially segmented into subsets according to different geographic traffic cells based on traffic zones. Subsequently, a Radial Basis Function regression model with a Gaussian kernel is employed to extract dynamic traffic parameters at the central coordinates of each geographic traffic zone based on subsets. The dynamic parameters derived from nonlinear regression and complexity sub-models are ultimately applied in maritime traffic complexity identification. The effectiveness of the proposed framework is validated through complexity assessments in selected areas of Malacca Strait. Empirical results are significant for maritime shipping research on data-driven traffic complexity monitoring and digitalised decision support.

引用

页数：15