交通信息与安全2023，Vol.41Issue(5)：83-94,12.DOI:10.3963/j.jssn.1674-4861.2023.05.009
基于AIS通信量的水上交通事故检测方法
A Detection Method for Maritime Traffic Accidents Based on AIS Communication Volume
摘要
Abstract
The data-driven approach for traffic accident detection plays a crucial role in the rapid rescue and reduc-tion of losses in maritime accidents.To achieve automatic detection of maritime accidents without autonomous re-porting,a method based on Automatic Identification System(AIS)communication volume is proposed.Normally,sudden maritime accidents disrupt the normal navigation patterns of vessels,leading to sharp changes in AIS com-munication volume within a short time due to changes in vessel movement states during the accidents.To extract the inherent laws of AIS communication volume during the evolution of maritime accidents and reduce noise interfer-ence to highlight the abrupt features of detection indicators,the AIS communication volume-to-total vessel count ra-tio is introduced as an indicator for maritime accident detection.To ensure timely detection,a sliding window model is used to segment detection indicator data and set update time intervals.Furthermore,a maritime accident detection model based on Kalman filtering is developed for short-term prediction of detection indicators.To ensure the accura-cy of detection results,a cloud model is employed for rapid division of detection model threshold ranges.Valida-tions and simulations are conducted using AIS data from the Yangtze River Wuhan section to verify the AIS commu-nication volume-based maritime accident detection method.Results show that the proposed detection model based on Kalman filtering achieves the highest hit rate and lowest false alarm rate in the shortest time,namely 97.25%and 0.42%,respectively,compared to models employing standard normal deviation and multi-scale linear fitting algo-rithms.In further simulated experiments involving three different accident scenarios,the proposed AIS communica-tion volume-based maritime accident detection method successfully detects accidents within 5 minutes.关键词
交通安全/水上交通事故/水上交通事故检测方法/卡尔曼滤波/AIS通信量Key words
traffic safety/maritime traffic accident/maritime traffic accident detection method/Kalman filter/AIS communication volume分类
交通工程引用本文复制引用
吴建华,彭虎,王辰,付鹏..基于AIS通信量的水上交通事故检测方法[J].交通信息与安全,2023,41(5):83-94,12.基金项目
国家自然科学基金项目(52271366)资助 （52271366）
