车辆轨迹数据的若干处理方法研究  

Methods to Process Vehicle Trajectory Data

作　　者：丁军[1] 张佐[1] 陈洪昕[1] 马晓[1] 

机构地区：[1]清华大学自动化系系统工程研究所,北京100084

出　　处：《交通信息与安全》2011年第5期10-14,35,共6页Journal of Transport Information and Safety

基　　金：国家自然科学基金项目(批准号:60834001);国家自然科学基金重大研究计划项目(批准号:90924002);国家重点基础研究发展计划项目(批准号:2006CB705506)资助

摘　　要：从智能车路协同系统的概念出发,介绍了车路协同系统下的数据采集标准及轨迹数据特点,研究了轨迹数据处理的若干方法,包括车辆轨迹重构、交通参数提取、轨迹聚类等。As a new stage of Intelligent Transportation System （ITS）, Intelligent Vehicle Infrastructure Cooperation System （IVICS） is put forward recently. Starting from the concept of IVICS, this paper first introduces the standards of data collection and their characteristics under vehicle infrastructure cooperation. Then, this paper discusses some methods to process trajectory data including vehicle trajectory reconstruction, traffic parameters extraction, trajectory clustering and so on. The methods mentioned in this paper can provide approaches and ideas for traffic control, guidance, incident detection, etc..

关 键 词：智能车路协同系统 轨迹数据处理 轨迹重构 轨迹聚类 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]