基于多源信息融合的列车定位方法研究
Research on train positioning method based on multi source information fusion
刘颂 1刁艳美1
作者信息
- 1. 南京工业大学浦江学院,江苏 南京 211222
- 折叠
摘要
随着列车运行速度的不断加快,列车发车间隔时间越来越短,列车的精准位置信息成为保证列车行车安全的必要条件.文章在现有列车定位方式下,首先采取组合定位方式,利用速度传感器、加速度传感器、现有的轨道电路和查询/应答器,取得列车位置的多源信息;其次,通过数据融合方法将获取的多源数据信息进行处理;最后,经过仿真软件对方法进行验证.仿真结果表明,文章采取的多源信息融合的列车定位方法能明显减少定位误差,提高列车定位精度,从精确性、连续性、可维护性及安全性多方面提高列车定位性能.
Abstract
With the continuous acceleration of train running speed,the interval between train departures is getting shorter and shorter,and the accurate location information of the train has become a necessary condition to ensure the safety of the train.In this paper,it is considered that under the existing train positioning mode,a combined positioning mode is adopted,and the multi-source information of train position is obtained by using a speed sensor,an acceleration sensor,an existing track circuit and an inquiry/transponder.Then,the multi-source data information obtained is processed through the data fusion method,and finally the method is verified by the simulation software.The simulation results show that the train positioning method of multi-source information fusion adopted in this paper can significantly reduce the positioning error,improve the train positioning accuracy,and improve the train positioning performance from the aspects of accuracy,continuity,maintainability and safety.
关键词
列车定位/多源信息融合/传感器/定位精度Key words
train positioning/multi source information fusion/sensors/positioning accuracy引用本文复制引用
基金项目
南京工业大学浦江学院校级项目(njpj2022-1-17)
出版年
2024
NETL
NSTL
万方数据