基于消错决策法的地铁车站安全态势分级

在城市轨道交通研究中,因不同车站所处区位及交通特征差异巨大,有必要针对不同等级、类别的车站进行相应的监测预警和配套设施部署,对提高地铁系统的风险防控和应急救援水平具有重要意义。利用一种消错决策方法,研究并建立了涵盖城市轨道交通运行过程中产生的动态数据的车站分级指标体系,并以南京地铁3号线为案例对29个车站进行了站点分级。结果表明,以选取的"高峰小时客流量""高峰时间不均匀系数""线网节点介数"等5个车站分级指标,将案例中全部车站动态地分为三个等级。该研究结果论证了地铁车站安全态势分级方法的有效性和可行性,可为运营单位更加科学合理地对地铁线网进行针对性监管部署提供理论及方法依据,使之具有实际操作性。

Research on Safety Situation Classification of Metro Stations Based on Error-Eliminating Decision Method

In the study of urban rail transit, due to the huge differences in the location and traffic characteristics of different stations, it is necessary to carry out corresponding monitoring and early warning and deployment of supporting facilities for stations of different grades and categories.. By summarizing and analyzing the domestic and foreign literatures and the classification of urban rail transit stations in some cities, pointing out the existing defects, and proposing the method of using error-eliminating decision method to establish a station grading index system covering the dynamic data generated during the operation of urban rail transit and used 29 stations along Nanjing Metro Line3 as a case. It aims to explore a more scientific and rational urban rail transit station grading method, so that the current urban rail transit network can continue to enrich and expand, and subway system can have higher efficiency in risk prevention and control and emergency rescue.