基于AIS数据的船舶交通流特性统计平台研究

发布时间：2018-03-15 17:26

本文选题：船舶自动识别系统　切入点：船舶交通流特性　出处：《大连海事大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着航运业快速发展,船舶数量不断增加,海上交通环境日趋复杂,加强对海上通航安全的研究十分重要。船舶交通流特性研究对于减少海上事故和保证海上交通安全具有重要意义。传统的船舶交通实态观测以视觉和雷达为主,观测数据处理以人工为主。船舶信息的完整性和数据处理的准确性较差,且工作耗时量大。随着船舶自动识别系统(AIS)的普及,船舶交通流特性统计的研究已经进入了大数据时代。对AIS调查所得的海上交通基本数据进行必要的统计处理,可获取比传统观测法更为客观、丰富的交通流特性资料,并可以进一步深入挖掘船舶在某水域航行的风险数据,为建立交通流理论模型等提供数据支持。本文在现有的研究成果基础上就船舶交通流特性进行研究,并搭建了船舶交通流特性统计平台,并实现了船舶交通流特性统计和数据可视化功能。本文对船舶交通流特性进行了研究,其中能够从AIS信息中挖掘出船舶交通量、船舶密度、船舶航迹、航速、船舶到达规律、船舶间距、交通流、交通容量、船舶领域、避碰行为和会遇率等交通流特性。其中具体实现了船舶交通量、船舶密度、船舶航迹、船舶航速、船舶间距这五大模块的功能。为检验平台的有效性,本文利用成山头水域的AIS数据对船舶交通量、船舶密度、船舶航迹、船舶航速和船舶间距进行统计,该平台在船舶交通流特性统计结果取得了理想的效果,验证了平台有效性和实用性。
[Abstract]:With the rapid development of shipping industry, the number of ships is increasing, and the maritime traffic environment is becoming more and more complex. It is very important to study the safety of navigation at sea. The study on the characteristics of ship traffic flow is very important for reducing accidents at sea and ensuring the safety of maritime traffic. The traditional observation of real state of ship traffic is based on vision and radar. The observation data processing is mainly manual, the integrity of ship information and the accuracy of data processing are poor, and the work time is large. With the popularization of automatic ship identification system (AIS), The study of statistics of ship traffic flow characteristics has entered big data's time. The necessary statistical processing of the basic data of marine traffic obtained from AIS survey can obtain more objective and abundant traffic flow characteristic data than the traditional observation method. It can further excavate the risk data of ship sailing in a certain water area, and provide data support for the establishment of traffic flow theory model, etc. In this paper, the characteristics of ship traffic flow are studied on the basis of the existing research results. The statistical platform of ship traffic flow characteristics is built, and the functions of ship traffic flow characteristic statistics and data visualization are realized. In this paper, the characteristics of ship traffic flow are studied, in which the ship traffic volume and ship density can be excavated from the AIS information. Ship path, ship speed, ship arrival rule, ship spacing, traffic flow, traffic capacity, ship field, collision avoidance behavior and encounter rate, etc. Among them, ship traffic volume, ship density, ship track, ship speed, etc. In order to test the validity of the platform, this paper makes use of the AIS data of Chengshan River to calculate the ship traffic volume, ship density, ship track, ship speed and ship spacing. The platform achieves ideal results in the statistical results of ship traffic flow characteristics, and verifies the effectiveness and practicability of the platform.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U675.7;U692

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