交通运输系统工程与信息

交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (3): 62-67.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于卫星导航的列车轨道占用加权识别方法研究

吴波前 a, b，蔡伯根 a, b，陆德彪*a, b, c，王剑 a, b, c   

  1. 北京交通大学 a. 电子信息工程学院；b. 北京市轨道交通电磁兼容与卫星导航工程技术研究中心； c. 轨道交通控制与安全国家重点实验室，北京 100044
  • 收稿日期:2018-10-22 修回日期:2019-03-22 出版日期:2019-06-25 发布日期:2019-06-25
  • 作者简介:吴波前(1991-)，男，山东德州人，博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(61603027，61490705)；国家重点研发计划National Key R & D Program of China(2018YFB1201500).

Weighted Identification Method of Train Track Occupancy Based on GNSS

WU Bo-qian a, b, CAI Bai-gen a, b, LU De-biaoa, b, c, WANG Jiana, b, c   

  1. a. School of Electronics and Information Engineering; b. Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation; c. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
  • Received:2018-10-22 Revised:2019-03-22 Online:2019-06-25 Published:2019-06-25

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摘要：

全球卫星导航系统在列车位置服务中的研究越来越广泛，基于卫星导航的列车定位方法可结合轨道电子地图将卫星定位结果转换为一维轨道里程值，其中列车轨道占用状态的正确识别是列车卫星定位的基础.本文提出一种基于地图匹配的适用于道岔区段内列车轨道占用加权识别方法，首先构建列车卫星定位的置信区域，然后计算置信区域内的线路数据与原始卫星定位结果的距离偏差和方向偏差等，对列车的轨道占用状态进行识别，并综合考虑铁路线路的拓扑结构，以及列车运行状态以提高运算效率.结合现场数据并与垂直投影法和交互多模型法对比可知，本文方法在保证轨道占用识别正确率的基础上，提高了计算效率.

关键词: 铁路运输, 列车定位, 轨道电子地图, 轨道占用识别, 全球卫星导航系统

Abstract:

Global Navigation Satellite System (GNSS) has been widely studying in train positioning service. GNSS based train positioning can use Digital Track Map (DTM) to realize the coordinate transformation from 3D GNSS position to one-dimensional kilometer mark, in which the identification of train track occupancy state is the basis. In this paper, based on the map matching algorithm, a track weighted occupancy identification method suitable for train positioning in switch section is proposed. The confidence area of train satellite positioning is constructed firstly. Then the distance deviation and direction deviation between the track data, which is surrounded by the confidence region, and the original GNSS positioning result are calculated. Based on the information, the train track occupancy state can be identified. Considering the station line topology and the train running state, the operational efficiency of the algorithm is improved subsequently. Results based on the field data and comparison with the results of the vertical projection method validate the efficiency and accuracy of the proposed method.

Key words: railway transportation；train positioning, digital track map, track occupancy identification, GNSS

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