用于仿真研究的集装箱船舶交通模型

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS International Journal of Applied Mathematics and Computer Science Pub Date : 2022-12-01 DOI:10.34768/amcs-2022-0038
Jakub Wawrzyniak, M. Drozdowski, Éric Sanlaville
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引用次数: 1

摘要

摘要本文的目的是建立一个集装箱船舶交通模型,用于港口仿真研究。这种模型对于终端设计分析和测试优化算法的性能是必不可少的。这种类型的研究需要关于船舶流的准确信息来构建测试场景和基准实例。以集装箱船到达世界8个港口的情况为基础,建立了船舶交通统计模型。该模型提供了到达船舶的三个参数:船舶尺寸、到达时间和服务时间。这批船按船的大小分为几类。对于每个类别,提供了服务时间分布和返回时间分布的混合。提出了一个非周期到达模型。此外,所获得的结果用于比较端口特定的特征。
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A Container Ship Traffic Model for Simulation Studies
Abstract The aim of this paper is to develop a container ship traffic model for port simulation studies. Such a model is essential for terminal design analyses and testing the performance of optimization algorithms. This kind of studies requires accurate information about the ship stream to build test scenarios and benchmark instances. A statistical model of ship traffic is developed on the basis of container ship arrivals in eight world ports. The model provides three parameters of the arriving ships: ship size, arrival time and service time. The stream of ships is divided into classes according to vessel sizes. For each class, service time distributions and mixes of return time distributions are provided. A model of aperiodic arrivals is also proposed. Moreover, the results achieved are used to compare port specific features.
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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