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Modelling liquefied natural gas ship traffic in port based on cellular automaton and multi-agent system

Published online by Cambridge University Press:  09 March 2021

Jingxian Liu ,
Yang Liu  and
Le Qi Open the ORCID record for Le Qi [Opens in a new window]
Jingxian Liu
Affiliation:
School of Navigation, Wuhan University of Technology, Wuhan, China. Hubei Key Laboratory of Inland Shipping Technology, Wuhan, China
Yang Liu
Affiliation:
School of Navigation, Wuhan University of Technology, Wuhan, China. Hubei Key Laboratory of Inland Shipping Technology, Wuhan, China
Le Qi*
Affiliation:
School of Navigation, Wuhan University of Technology, Wuhan, China. Hubei Key Laboratory of Inland Shipping Technology, Wuhan, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

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.

Keywords

LNG shipcellular automatonmulti-agenttraffic flow simulation
Type
Research Article
Information
The Journal of Navigation , Volume 74 , Issue 3 , May 2021 , pp. 533 - 548
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Copyright
Copyright © The Royal Institute of Navigation 2021

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