|
|
|
Yingjie Tang, Junmin Mou, Linying Chen and Yang Zhou
Through the continuous development of intellectualization, considering the lifecycle of ships, the future of a waterborne traffic system is bound to be a mixed scenario where intelligent ships of different autonomy levels co-exist, i.e., mixed waterborne...
ver más
|
|
|
|
|
|
|
Junmin Mou, Xuefei Jia, Pengfei Chen and Linying Chen
The operation of offshore wind farms is characterized by a complicated operational environment, long project cycle, and complex vessel traffic, which lead to safety hazards. To identify the key factors affecting the operational safety of offshore wind fa...
ver más
|
|
|
|
|
|
|
Shaoqing Guo, Junmin Mou, Linying Chen and Pengfei Chen
With the enormous amount of information provided by the ship Automatic Identification System (AIS), AIS is now playing a significant role in maritime transport system-related research and development. Many kinds of research and industrial applications ar...
ver más
|
|
|
|
|
|
|
Lianhui Wang, Pengfei Chen, Linying Chen and Junmin Mou
The Automatic Identification System (AIS) of ships provides massive data for maritime transportation management and related researches. Trajectory clustering has been widely used in recent years as a fundamental method of maritime traffic analysis to pro...
ver más
|
|
|
|
|
|
|
Xiang Gao, Linying Chen, Pengfei Chen, Yu Luo and Junmin Mou
The transport of liquefied natural gas (LNG) has significant impact on traffic capacity of waterways, especially the approach channels shared by LNG carriers and other types of ships (general cargo ships, container ships, etc.). Few studies take the beha...
ver más
|
|
|
|