内河复杂航段船舶会遇场景及交通流特征分析

Analysis of Vessel Encounter Scenarios and Traffic Flow in Complex Inland Waterway Sections

为研究船舶在内河复杂航道航行期间的会遇场景,以长江武汉段船舶自动识别系统(AIS)及海事雷达数据为基础,开展数据分析。首先,对船舶原始航行轨迹进行数据清洗和修复,获取精确、连续、稳定的船舶航行轨迹,进一步提取船舶相对航向、航速等信息;其次,统计实际船舶航迹的最小会遇距离,分析长江航段不同时间最小会遇距离演化规律;最后,利用会遇时空约束条件对船舶会遇场景进行自动识别。结果表明:所提出的船舶会遇场景分析方法能有效、准确地提取航行轨迹、航速、航向等航行信息,并能自动识别会遇场景。文中对内河航道船舶会遇场景的分析,对于内河智能航行测试场景生成具有参考价值。

In view of the difficulty in judging the situation and collision hazards encountered by ships during the complicated inland waterway navigation,the automatic identification system data(AIS)and radar data of the Wuhan Yangtze River Bridge section were analyzed in time and space.First,use the data interpolation method to complete the data,and perform data cleaning to ensure the reliability and integrity of the trajectory,and extract the relative heading,speed and other information of the ship;secondly,calculate the DCPA(minimum encounter distance)under different time series,Analyze the characteristics of the space-time evolution of the ship’s DCPA,and obtain the evolution law of the DCPA at different times in the Yangtze River segment;finally,use the time-space constraints of the encounter to identify the encounter scene of the ship.The results show that the proposed ship encounter scene analysis method can effectively extract navigation information such as navigation trajectory,speed,and heading,and automatically recognize the encounter scene.This article mainly analyzes the inland river narrow channel DCPA,which has reference significance for the formulation of the future unmanned ship’s inland river collision avoidance rules.