机电工程技术2024，Vol.53Issue(11)：9-12,36,5.DOI:10.3969/j.issn.1009-9492.2024-00050
考虑旅客出行时间规律的枢纽站客流预测
Railway Station Passenger Flow Prediction Considering the Rule of Passenger Travel Time
摘要
Abstract
Passenger flow prediction is an important challenge in the operation of large-scale passenger transportation hub stations,which are affected by holidays and other factors,resulting in the significant fluctuation of passenger flow.Aiming to improve the accuracy of passenger flow prediction at hub stations,a passenger flow prediction model is proposed for hubs considering travel time patterns of passengers.Firstly,based on the actual sample data,a variety of machine learning methods are used to train and test the prediction models,and selecting the prediction model with the optimal output to realize the prediction of the pedestrian flow of trips sent.At the same time,based on WiFi positioning technology,the WiFi probe data at railway station and the regularity of the early arrival time of travelers is dug deeper to better capture the dynamic changes of passenger flow.The prediction effect of the model is over 0.85.And by combining the train passenger flow prediction results with the regularity of passengers'early arrival time,more detailed inbound passenger flow prediction results under the target day are obtained.The results provide precise and accurate data support for railroad operators to formulate passenger flow control plans,improve operational stability,and reduce operational waste in the station.关键词
客运枢纽站/客流预测/WiFi定位Key words
railway station/passenger flow prediction/WiFi positioning分类
交通工程引用本文复制引用
黄婉玲,傅惠,陈乔煜..考虑旅客出行时间规律的枢纽站客流预测[J].机电工程技术,2024,53(11):9-12,36,5.基金项目
广州市科技计划项目(2023A03J0939) （2023A03J0939）
