Vessel traffic scheduling method for the controlled waterways in the upper Yangtze River
Vessel traffic scheduling method for the controlled waterways in the upper Yangtze River
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DOI：
10.1016/j.oceaneng.2018.11.025
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发表时间：
2019-01
影响因子：
5
通讯作者：
S. Liang;Xiaoyue Yang;F. Bi;Chengyang Ye
中科院分区：
文献类型：
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作者：
S. Liang;Xiaoyue Yang;F. Bi;Chengyang Ye
内河运输系统通常被认为是安全、高效和经济的。然而，交通堵塞和船舶碰撞已成为严重威胁海上安全，特别是在单向水道。本文的目的是对长江上游受控水道中的船舶进行排序，并为每艘船舶生成最佳的交通命令，以确保海上安全和交通效率。在这项研究中，所提出的方法是基于模糊层次分析法（FAHP）与专家系统（ES）相结合。通过对船舶自动识别系统（AIS）采集的数据进行专家分析，筛选出一些外部环境和内部因素作为重要影响因素（SIF）。然后，FAHP用于建模的层次结构，并确定每个SIF的权重。最后利用专家系统实现船舶排序和相应的交通命令。实验结果表明，与现有的交通信号显示系统相比，船舶等待时间平均减少约22 min。这不仅将大大提高船舶交通调度的效率和准确性，而且还通过减少航行时间来增加航道容量。
An Inland Waterway Transportation System is often claimed to be safe, efficient and economic. However, traffic congestion and vessel collision have become serious threats to marine safety, especially in the one-way waterways. The aim of this paper is to rank the vessels in the controlled waterways of the upper Yangtze River and to generate the optimal traffic commands for each vessel so as to ensure marine safety and traffic efficiency. In this study, the proposed approach is based on the combination of Fuzzy Analytical Hierarchy Process (FAHP) with an Expert System (ES). Vessel data collected from Automatic Identification Systems (AIS) are first analyzed by experts, and some external environment and internal factors are selected as Significant Influencing Factors (SIFs). FAHP is then used for modelling a hierarchical structure and determining the weight of each SIF. Finally, the sorted vessel sequence and appropriate traffic commands can be achieved using ES. The experiment result shows that the waiting time of vessels is averagely decreased about 22 min compared with the existing Traffic Signal Revealing System. This will not only significantly improve the efficiency and accuracy of the vessel traffic scheduling, but also increase the waterway capacity by reducing the travelling time.