中国标准化Issue(5)：181-187,222,8.DOI:10.3969/j.issn.1002-5944.2025.05.030
基于轨迹分析的智能网联汽车运行安全监管数据质量评价方法
Data Quality Evaluation Method for Operation Safety Supervision of Intelligent Connected Vehicles Based on Trajectory Analysis
摘要
Abstract
Aiming at the operational safety supervision needs of road testing and demonstration applications of intelligent connected vehicles in China,this paper analyzes and verifies the supervision data uploaded by the test vehicles,and proposes a quality evaluation method for the operational safety supervision data of intelligent connected vehicles based on the vehicle positioning data.Firstly,the latitude and longitude positioning data of the vehicle is converted into the actual position trajectory through projection transformation;secondly,the speed and heading angle values of the vehicle are evaluated through the differential and filtering calculation of the position trajectory;finally,a data quality evaluation mechanism including evaluation indicators such as trajectory distance errors,speed errors and heading angle errors is constructed to evaluate the quality of the operational safety supervision data of intelligent connected vehicles.This method is concise and clear,and enables real-time data processing when receiving supervision data,which effectively guarantees the operational safety supervision of intelligent connected vehicles and further supports the analysis and mining of traffic safety incidents.关键词
智能网联汽车/运行安全监管/轨迹分析Key words
intelligent connected vehicles/operational safety supervision/trajectory analysis引用本文复制引用
王敏,孙巍,陆文杰,薛栋吉..基于轨迹分析的智能网联汽车运行安全监管数据质量评价方法[J].中国标准化,2025,(5):181-187,222,8.基金项目
本文受公安交管专项研究任务"智能网联汽车运行安全监管技术研究"(项目编号:2024081410)资助. （项目编号:2024081410）
