基于手机信令的铁路车站客流特征提取技术研究  

Research on Passenger Flow Characteristics Technology of Railway Station Based on Mobile Phone Signaling Data

作　　者：胡必松 HU Bisong(State Key Laboratory of Rail Transit Engineering Informatization(FSDI),Xi'an 710043,China)

机构地区：[1]轨道交通工程信息化国家重点实验室(中铁一院),西安710043

出　　处：《铁道标准设计》2022年第5期145-151,158,共8页Railway Standard Design

基　　金：中国科协青年人才托举工程项目(2018QNRC001);中铁第一勘察设计院集团有限公司科研项目(院科18-01,19-07,19-79)。

摘　　要：手机信令数据为铁路车站客流特征提取提供了新的可行性支撑。首先,对移动通信系统构成与网络空间覆盖特征、手机信令数据对车站客流特征提取支撑进行分析;然后,对手机信令数据进行采集,简化、除燥、扩样及构建基站数据库,在识别旅客出行轨迹的基础上,设计车站旅客发送量、客流流向及占比、高峰小时旅客发送量及高峰小时系数、车站最高聚集人数等车站客流特征提取技术;最后,以西安北站为例验证了技术的有效性和可行性,西安北站手机信令扩样旅客发送量与实际发送量误差在-4.85%~4.54%之间,高峰小时客流量18572人次,高峰小时系数0.901,现状最高聚集人数12024人。The mobile phone signaling data provides new feasibility support for extracting passenger flow characteristics of railway station.Firstly,the structure of mobile communication system and network space coverage characteristics,mobile phone signaling data to support the extraction of passenger flow characteristics are analyzed.Then,the mobile phone signaling data is collected,simplified,eliminated,expanded and the base station database is built.Based on the identification of passenger travel trajectories,passenger flow feature extraction technologies such as the passenger volume,the direction and proportion of passenger flow,the passenger volume at peak hours and the peak hour coefficient,and the maximum assembly of passengers at railway station are designed.Finally,the effectiveness and feasibility of the technology is verified by the case of Xi’an North Station,the error between the number of passengers sent by the mobile phone signaling extension and the actual amount is between-4.85%~4.54%.The peak hour passenger flow is 18572,the peak hour coefficient is 0.901,and the current maximum assembly at railway station is 12024.

关 键 词：手机信令数据 车站客流 旅客发送量 高峰小时系数 最高聚集人数 移动通信 

分 类 号：F530[经济管理—产业经济] U212.1[交通运输工程—道路与铁道工程]