基于卫星导航的列车轨道占用加权识别方法研究

Weighted Identification Method of Train Track Occupancy Based on GNSS

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.

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.