船舶流量智能交通检测系统设计  

Design of intelligent traffic detection system for ship flow

作　　者：王志宽[1] 张成全[1] WANG Zhikuan;ZHANG Chengquan(Zhejiang Institute of Communications,Hangzhou 311112,China)

机构地区：[1]浙江交通职业技术学院,浙江杭州311112

出　　处：《舰船科学技术》2024年第17期158-161,共4页Ship Science and Technology

摘　　要：以避免船舶AIS数据内噪声对船舶流量检测干扰,准确、实时实现船舶流量智能交通检测,设计船舶流量智能交通检测系统。采集模块采集海上航线船舶AIS数据,使用逻辑分析模块内的船舶交通流状态空间模型,获取当前海上航线船舶交通流空间状态,卡尔曼滤波算法将上一个航线船舶交通流空间状态作为观测向量,同时抑制船舶交通流空间状态观测向量内干扰噪声,建立船舶流量智能交通检测模型,不断更新海上航线船舶流量空间状态转移矩阵,推理当前时刻船舶交通流量空间状态,得到船舶流量智能交通检测结果。实验表明,该方法具备较强的船舶AIS数据获取能力,可准确获得海上航线船舶流量状态,并有效检测不同时刻船舶流量,应用效果较好。To avoid interference from noise in ship AIS data on ship flow detection,and to achieve accurate and real-time intelligent traffic detection of ship flow,a ship flow intelligent traffic detection system is designed.The collection module collects AIS data of ships on sea routes,uses the ship traffic flow state space model in the logic analysis module to obtain the current ship traffic flow spatial state on sea routes.The Kalman filtering algorithm takes the previous ship traffic flow spatial state as the observation vector,while suppressing the interference noise in the ship traffic flow spatial state observation vector,establishes an intelligent traffic detection model for ship flow,continuously updates the ship traffic flow spatial state transition matrix on sea routes,infers the current ship traffic flow spatial state,and obtains the intelligent traffic detection result for ship flow.The experiment shows that this method has strong ability to obtain ship AIS data,accurately obtain the flow status of ships on the sea route,and effectively detect the flow of ships at different times.The application effect is good.

关 键 词：船舶流量 智能交通 检测系统 空间状态 卡尔曼滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]