Research Prospects of Ship Traffic Flow Simulation Technology

2018 International Conference on Civil and Hydraulic Engineering

土木建筑工程;水利工程

Xiong, Junting^1 ; Xie, Hongbin^1

Dalian Maritime University Maritime College, Dalian, Liaoning

116026, China^1

关键词: Automatic identification system;    Machine learning methods;    Modeling fidelity;    Real time;    Ship traffic;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/189/6/062031/pdf
DOI  :  10.1088/1755-1315/189/6/062031

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

At present, the traditional ship traffic flow simulation technology has not been able to meet the requirements of researchers for model fidelity and simulation timeliness. Considering that AIS (Automatic Identification System) data has the characteristics of authenticity and real-time, ship traffic flow simulation based on these data can make the results more practical. For huge amounts of AIS data, it is difficult to solve problems by using the previous simulation methods. According to the achievements of machine learning method under the background of big data, the possibility of ship traffic flow simulation technology based on AIS data is analyzed.