首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于可见光通信和接收信号强度检测的列车定位方法研究
引用本文:张雁鹏,胥亚丽,马军民,朱东亚.基于可见光通信和接收信号强度检测的列车定位方法研究[J].铁道科学与工程学报,2021,18(2):485-493.
作者姓名:张雁鹏  胥亚丽  马军民  朱东亚
作者单位:兰州交通大学自动化与电气工程学院,甘肃兰州 730070;甘肃省人工智能与图形图像处理工程研究中心,甘肃兰州 730070;兰州交通大学自动化与电气工程学院,甘肃兰州 730070;甘肃省人工智能与图形图像处理工程研究中心,甘肃兰州 730070;成都地铁运营有限公司,四川成都 610041;兰州交通大学自动化与电气工程学院,甘肃兰州 730070;甘肃省人工智能与图形图像处理工程研究中心,甘肃兰州 730070
基金项目:国家自然科学基金资助项目;教育部创新团队发展计划项目;甘肃省自然科学基金资助项目
摘    要:精确的列车位置信息是CBTC(基于通信的列车控制)系统保障列车安全高效运行的关键因素。针对地铁独特的隧道环境和列车运营特点,提出一种VLC(可见光通信)和RSSI(接收信号强度检测)相结合的列车定位方法。首先,以朗伯光源模型为基础,构建LED可见光通信的CBTC系统的列车定位模型;其次,利用RSSI值计算隧道壁上LED灯与列车之间的直线距离,并使用三边定位原理和最小二乘法拟合列车定位结果;然后,引入VLC与RSSI相结合的列车定位观测模型和误差模型,对运行中的列车实时定位与误差分析;最后,以成都地铁1号线的真实线路数据和设备参数为依据,验证所提方法的可行性和有效性。研究结果表明:该列车定位方法的最大定位误差为39.23cm,平均定位误差为13.36cm,满足CBTC系统对高精度列车定位的要求,可以作为传统列车定位方法的一种全新选择。

关 键 词:城市轨道交通  CBTC  可见光通信  接收信号强度检测  列车定位

A novel method of train positioning using visible light communication and received signal strength indication
ZHANG Yanpeng,XU Yali,MA Junming,ZHU Dongya.A novel method of train positioning using visible light communication and received signal strength indication[J].Journal of Railway Science and Engineering,2021,18(2):485-493.
Authors:ZHANG Yanpeng  XU Yali  MA Junming  ZHU Dongya
Institution:(School of Automation&Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics&Image Processing,Lanzhou 730070,China;Chengdu Metro Operation Co.,Ltd.,Chengdu,610041,China)
Abstract:Train position information is the key factor to ensure the safe and efficient operation of trains for CBTC(Communications Based Train Control)systems.Aiming at the unique characteristics of tunnel environment and train operation for urban rail transit,a train positioning method using VLC(Visible Light Communication)and RSSI(Received Signal Strength Indication)has been proposed.Firstly,based on the classical illumination model of Lambert,a train positioning model with LED lamps for CBTC systems has been established.Secondly,the linear distance between the LED lamps on tunnel wall and the train was calculated by using the value of RSSI,and the trilateral positioning principle and the least square method have been adopted to fit the results of train positioning.Furthermore,the observation model and the error model of train positioning,combined with VLC and RSSI,have also been introduced to determine the real-time position and analyze the positioning error for running trains.Finally,according to the real line data and equipment parameters from Chengdu Metro Line 1,the feasibility and effectiveness of the proposed method has been verified.The simulation results show that the maximum error of train positioning of the proposed method is less than 39.23 cm,and the average error is 13.36 cm,which can meet the requirements of high precision of train positioning for CBTC systems and can be used as an alternative choice for traditional methods of train positioning.
Keywords:urban rail transit  communications-based train control  visible light communication  received signal strength indication  train positioning
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号