A cellular automaton model for ship traffic flow in waterways
A cellular automaton model for ship traffic flow in waterways
复制标题
水道船舶交通流元胞自动机模型
DOI：
10.1016/j.physa.2016.12.028
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发表时间：
2017-04
期刊：
影响因子：
--
通讯作者：
Gang Longhui
中科院分区：
文献类型：
--
作者：
Qi Le;Zheng Zhongyi;Gang Longhui
随着海上交通的发展，航道变得拥堵，船舶交通流中出现了更加复杂的交通现象。建立基于元胞自动机(CA)的船舶交通流模型对于研究船舶交通流现象，提高海上运输效率和安全性具有重要意义和必要性。航道空间离散化规则和船舶运动更新规则是区别于车辆交通的两个重要问题。为了解决这些问题，提出了一种基于空间逻辑映射(SLM)的船舶交通流CA模型。在该模型中，通过增加映射规则来改进空间离散化规则。在更新规则中考虑了动态舰船领域模型，以更准确地描述舰船之间的相互作用。以新加坡海峡船舶交通流为例，进行了仿真计算并进行了比较。仿真结果表明，SLM模型可以有效地避免传统空间离散化规则引起的船舶伪变道问题。SLM模型中的船速变化与实测值基本一致。最后，从基本原理图出发，探讨了通航能力与船舶长度的关系。当大型船舶的比例增加时，航道上的船舶数量就会减少。
With the development of marine traffic, waterways become congested and more complicated traffic phenomena in ship traffic flow are observed. It is important and necessary to build a ship traffic flow model based on cellular automata (CAs) to study the phenomena and improve marine transportation efficiency and safety. Spatial discretization rules for waterways and update rules for ship movement are two important issues that are very different from vehicle traffic. To solve these issues, a CA model for ship traffic flow, called a spatial–logical mapping (SLM) model, is presented. In this model, the spatial discretization rules are improved by adding a mapping rule. And the dynamic ship domain model is considered in the update rules to describe ships’ interaction more exactly. Take the ship traffic flow in the Singapore Strait for example, some simulations were carried out and compared. The simulations show that the SLM model could avoid ship pseudo lane-change efficiently, which is caused by traditional spatial discretization rules. The ship velocity change in the SLM model is consistent with the measured data. At finally, from the fundamental diagram, the relationship between traffic ability and the lengths of ships is explored. The number of ships in the waterway declines when the proportion of large ships increases.
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