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Vessel traffic scheduling method for the controlled waterways in the upper Yangtze River

机译:长江上游受控航道船舶交通调度方法

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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.
机译:内陆水运系统通常被认为是安全,高效和经济的。但是,交通拥堵和船只相撞已经严重威胁着海洋安全,特别是在单向航道中。本文的目的是对长江上游控制航道内的船只进行排序,并为每艘船只生成最佳交通命令,以确保海洋安全和交通效率。在这项研究中,所提出的方法是基于模糊层次分析过程(FAHP)与专家系统(ES)的结合。专家首先对从自动识别系统(AIS)收集的船只数据进行分析,然后选择一些外部环境和内部因素作为重要影响因素(SIF)。然后,将FAHP用于建模层次结构并确定每个SIF的权重。最后,使用ES可以实现分类的船只顺序和适当的交通命令。实验结果表明,与现有的交通信号显示系统相比,船舶的等待时间平均减少了22分钟左右。这不仅将显着提高船舶交通调度的效率和准确性,还将通过减少航行时间来增加水路通行能力。

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