东南大学学报（自然科学版）2016，Vol.46Issue(6)：1318-1322,5.DOI:10.3969/j.issn.1001-0505.2016.06.035
基于云模型的城市轨道交通车站客流控制触发判别方法
Identification method for passenger inflow control in urban rail transit station based on cloud model
摘要
Abstract
The station facility category of urban rail transit and the index of passenger aggregation degree were analyzed according to the features of three-level passenger flow control.The passenger inflow state levels of station facilities of urban rail transit were divided.Then,the template cloud model with different passenger inflow state levels and the synthetic index cloud model of the passen-ger inflow state measured by facilities were developed based on the synthesis theory of the cloud model.The identification method for passenger inflow control was proposed by calculating the simi-larity degree between the template cloud model and the synthetic index cloud model.Finally,the station,the key observation point of the first order passenger inflow control trigger discrimination, was taken as a case to verify the validity of the proposed method.The results show that the proposed method can accurately identify the current passenger inflow state,thus helping the manager timely take corresponding passenger inflow control measure according to the passenger inflow state.关键词
城市轨道交通/客流状态/客流控制/触发条件判别/云模型Key words
urban rail transit/passenger inflow state/passenger inflow control/trigger condition discrimination/cloud model分类
交通工程引用本文复制引用
豆飞,潘晓军,秦勇,张欣,贾利民..基于云模型的城市轨道交通车站客流控制触发判别方法[J].东南大学学报（自然科学版）,2016,46(6):1318-1322,5.基金项目
国家自然科学基金资助项目（61374157）、北京市地铁运营有限公司科研资助项目（2015000501000007）、北京市博士后工作经费资助项目（2015ZZ-151）． （）
