基于人工神经网络的车次追踪算法研究  

Research of Train Number Tracking Method Based on Artificial Neural Networks

作　　者：武鹏[1] 白雪[1] 易志刚[1] 

机构地区：[1]中国铁道科学研究院通信信号研究所

出　　处：《铁道通信信号》2014年第2期4-7,共4页Railway Signalling & Communication

摘　　要：在高速铁路运营调度系统中,对列车进行跟踪,实时获取准确的列车车次号是必不可少的。车次追踪主要包括原始车次号的获取、车次号的逻辑追踪处理和列车车次校核3个方面。逻辑追踪是在某一时刻和某一地点,根据列车的实际运行情况,自动推算当时运行或者停车的列车的车次号。车次校核是根据计划或无线等车次号对追踪结果进行校核。基于人工神经网络算法的车次追踪技术,快速、有效,可以避免由于轨道电路故障而引起的车次追踪错误。It is necessary for the high-speed railway operation dispatching system to track train and get accurate train number. The logics of train number tracking algorithm mainly consists of acquiring original train number, logical tracking of train number and train number checking. Logical tracking of train num- ber is to calculate a running or stopping train＇s number automatically according to its operating status at a certain position at certain time. Train number checking is to check the tracking results according the train numbers from plan or via wireless transmission. We present a tracking method of train number based on artificial neural networks, which is rapid and efficient and able to avoid train number tracking errors caused by failures of track circuit.

关 键 词：高速铁路运营调度 车次追踪 人工神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] U284.59[自动化与计算机技术—控制科学与工程]