Over the past few decades, the number of liquefied natural gas (LNG) ships and terminals has been increasing, playing an important role in global clean energy transportation. However, the traffic capacity of LNG shipping in port areas is limited because of its high safety requirements. In view of this problem, a novel model is proposed to study the ship traffic in a port area by combining cellular automaton (CA) and multi-agent methods. Taking the CNOOC Tianjin LNG Terminal as an example, the ship traffic in Tianjin Port is simulated. Based on the simulation results, the LNG ship traffic capacity and its impact on the general shipping traffic flow under different special traffic rules are obtained. This model can provide theoretical support for optimising the port traffic organisation for LNG ships.

中文翻译：

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基于元胞自动机和多智能体系统的港口液化天然气船舶交通建模

过去几十年，液化天然气（LNG）船舶和码头数量不断增加，在全球清洁能源运输中发挥着重要作用。但由于LNG运输安全性要求高，港口地区的运输能力有限。针对这一问题，提出了一种结合元胞自动机（CA）和多智能体方法的港口区域船舶交通研究模型。以中海油天津LNG接收站为例，模拟天津港的船舶交通。基于仿真结果，得到了不同特殊交通规则下LNG船舶通行能力及其对一般航运交通流量的影响。该模型可为优化LNG船舶港口交通组织提供理论支持。