水上交通流宏观复杂度建模与仿真

发布时间：2018-02-02 17:04

本文关键词： 交通簇交通流聚集复杂度速度特征复杂度密度特征复杂度　出处：《系统仿真学报》2017年04期 　论文类型：期刊论文

【摘要】：为了准确描述交通管理人员对水上交通流认知的难易程度,提出了一种定量计算水上交通流宏观复杂度的方法。通过模糊聚类将区域交通流的宏观复杂度量转化为对交通簇内、外认知复杂性的测度,并根据交通流动力方程插值得到整个水域的历史交通流场,分别计算聚集复杂度、速度特征复杂度以及密度特征复杂度,通过水上交通流宏观复杂度模型获得水上交通流宏观复杂度。构造典型水域进行仿真实验,验证了该模型可客观反映水上交通流宏观复杂度的空间分布,交通管理人员能及时地发现复杂度较高的区域,并识别偏离航道或逆航道航行等船舶异常行为。
[Abstract]:In order to accurately describe the traffic management personnel on the understanding of water traffic flow degree of difficulty. In this paper, a quantitative method for calculating the macroscopic complexity of water traffic flow is proposed. The macroscopic complexity measurement of regional traffic flow is transformed into a measure of cognitive complexity within and outside traffic clusters by fuzzy clustering. The historical traffic flow field of the whole water area is obtained by interpolation according to the traffic flow force equation, and the aggregation complexity, the velocity characteristic complexity and the density characteristic complexity are calculated respectively. The macroscopic complexity of water traffic flow is obtained by the model of macro-complexity of water traffic flow, and the simulation experiment of typical water area is carried out, which verifies that the model can objectively reflect the spatial distribution of macro-complexity of water traffic flow. The traffic manager can find the area with high complexity in time and identify the abnormal behavior of the ship such as deviating from the channel or sailing in the reverse channel.
【作者单位】：武汉理工大学航运学院;湖北省内河航运技术重点实验室;国家水运安全工程技术研究中心;中国交通通信信息中心;
【基金】：国家自然科学基金(51679180,51579204) 中央高校基本科研业务费专项资金(142212001) 武汉理工大学双一流项目
【分类号】：U692
【正文快照】： 引言1船舶的大型化、船舶数量的增加、港口航路的增多等因素使得水上交通流越来越复杂,也使得现代水上交通监管面临越来越大的挑战。在水上交通管理中,虽然现代监管设备为提高监管水平和减轻监管压力提供了日益丰富的手段,但日益增多的船舶数量和船舶类型、日益增加的港口航道

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