基于时间序列与重采样的铁路车站行车安全态势主动监测方法  

Active monitoring method of railway station traffic safety situation based on time series and resampling

作　　者：牛林杰 NIU Lin-jie(School of Rail Transit,Shaanxi College of Communications Technology,Xi’an 710018,China)

机构地区：[1]陕西交通职业技术学院轨道交通学院,西安710018

出　　处：《信息技术》2025年第3期101-106,115,共7页Information Technology

基　　金：陕西省教育厅2022年度一般专项科研计划项目(自然科学项目)(22-JK0286)。

摘　　要：为保障铁路车站行车安全,研究基于时间序列与重采样的铁路车站行车安全态势主动监测方法。基于环境因素、设施因素、人为因素构建铁路车站行车安全态势监测指标体系;采集监测数据,构建铁路车站行车安全态势监测数据集。利用基于马氏距离的重采样方法对监测数据集实施重采样处理。结合监测数据集内样本的时间序列,利用自回归积分滑动平均模型输出铁路车站行车安全态势监测结果。实验结果表明,该方法可以主动监测铁路车站行车安全态势,在铁路车站出现行车安全问题时及时报警,可真实反映铁路车站的行车安全状况。In order to ensure the traffic safety in train station,the active monitoring method of traffic safety situation in train station based on time series and resampling is studied.Based on environmental factors,facility factors and human factors,the monitoring index system of train station traffic safety situation is constructed,monitoring data is collected,and the monitoring data set of train station traffic safety situation is constructed.The resampling method based on Markov distance is utilized to implement resampling processing on the monitoring dataset.Combined with the time series of samples in the monitoring data set,the autoregressive integral moving average model is used to output the monitoring results of traffic safety situation in train station.The experiment results show that this method can actively monitor the traffic safety situation in train station,timely alarm when traffic safety problems occur in train station,and truly reflect the traffic safety situation in train station.

关 键 词：铁路车站 行车安全态势 主动监测方法 重采样处理 时间序列 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]