交通运输系统工程与信息

交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (2): 64-69 .

• 智能交通系统与信息技术 • 上一篇    下一篇

基于道岔曲线信息的列车定位方法研究

王剑*1,2;刘江1,2;上官伟1,2;蔡伯根1   

  1. 1.北京交通大学 电子信息工程学院，北京 100044; 2.北京交通大学 轨道交通控制与安全国家重点实验室，北京 100044
  • 收稿日期:2008-12-31 修回日期:2009-06-17 出版日期:2010-04-25 发布日期:2010-04-25
  • 通讯作者: 王剑
  • 作者简介:王剑（1978-），男，山西隰县人，讲师，博士
  • 基金资助:

    国家自然科学基金（60736047，60870016）；北京交通大学校人才基金（2007RC044）

Switch Curve Information Based Train Positioning Method

WANG Jian 1,2; LIU Jiang 1,2;SHANGGUAN Wei 1,2;CAI Bai-gen 1   

  1. 1.School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044,China; 2.State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044,China
  • Received:2008-12-31 Revised:2009-06-17 Online:2010-04-25 Published:2010-04-25
  • Contact: WANG Jian

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被引次数

23

摘要： 在安全苛求的现代列车控制系统中，列车的实时定位是一个十分重要的环节. 传统的基于里程计的列车定位方法只能提供列车行驶的里程信息，在具有多条平行股道的铁路车站，传统的列车定位方法无法解决轨道占用识别的问题. 本文根据列车在铁路线路上运行的特点，提出了基于道岔曲线信息的列车定位方法，该方法利用GPS及惯性传感器辅助提取列车在道岔处的速度、加速度、角速度等运行特征，得到列车在道岔处的转弯半径、曲率变化及运行方向，并通过与车载地图数据库进行比较，实现准确的轨道占用识别及列车定位. 文中给出了采用传感器获取运行特征的方法以及实现道岔信息匹配的流程. 现场测试结果表明，在当前试验条件下，该方法已具备较强的轨道占用识别能力，能够在一定程度上提高列车定位的性能.

关键词: 铁路运输, 列车定位, 道岔曲线, 轨道占用识别, 惯性测量

Abstract: The real-time positioning of train is an important part of modern safety-critical train control system. In traditional train positioning method using odometer, only mileage information can be provided, thus it is difficult to solve the problem of track occupied identification in station with several parallel tracks. According to the characteristic of train operation, the switch curve information based train positioning method is proposed in this paper, in which GPS receiver and inertial sensors are employed to obtain train’s operation state in switch, such as the train’s velocity, accelerator, and angular rate. The study calculates the difference of turning radius and rate of curvature and finds the running direction. Then the track occupied identification is realized accurately with the comparison to on-board track map database. It also analyzes the way of obtaining train’s operation state and the flow of the matching with curve information. Experimental results demonstrate that, under current conditions, the proposed method earns high ability for track occupied identification and could improve the positioning performance to some extent.

Key words: railway transportation, train positioning, switch curve, track occupied identification, inertial measurement

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