摘要
当前,大数据在居民出行特征分析以及城市土地利用优化等方面发挥了很好的作用,但在轨道交通的客流预测应用较少。以芜湖市为研究对象,采用手机信令数据,充分利用日趋成熟的交通信息平台和信息化数据采集挖掘技术,提高调查数据质量,对不同时段的人员出行特征变化进行分析与比较,从而为芜湖市轨道交通客流预测提供多元化、多层次的数据支撑,并与传统交通调查数据相互校核,使轨道交通客流模型参数更精确,为轨道交通规划提供有力的技术支撑。
In the context of information age,the advantages of big data in passenger flow prediction are gradually highlighted.Through the mining,analysis and integration of big data,it plays an important role in grasping the characteristics of current passenger flow and checking the parameters of passenger flow prediction model.At present,the analysis of big data plays a good role in resident travel characteristics and urban land use optimization,but its role in passenger flow prediction of rail transit construction planning is rarely analyzed.Taking the city of Wuhu as a research object,using the mobile phone signal data,full use of mature transportation information platform and the information data acquisition mining technology were applied,a way to improve the quality of survey data and the characteristics of travel at different times of the changes were analyzed and compared.Thus,for the city of Wuhu,rail transit construction plan has been diversified,multi-level data help support the prediction and check with the traditional traffic survey.The rail transit passenger flow forecast has been more accurate,and could provide technical support for the advance of rail transit construction planning.
作者
王洋
董雪婷
Wang Yang;Dong Xueting(China Railway Engineering Design and Consulting Group Co.,Ltd.,Beijing 100055,China)
出处
《铁道勘察》
2022年第5期125-131,136,共8页
Railway Investigation and Surveying
基金
中铁工程设计咨询集团有限公司科技开发计划课题(单轨-业2020-11)
关键词
轨道交通
大数据
手机信令
数据挖掘
客流预测
rail transit
big data
mobile signaling
data mining
passenger flow forecast
作者简介
王洋(1993—),男,2018年毕业于西南交通大学交通运输工程专业,工学硕士,工程师,E-mail:651526795@qq.com。
