铁路物流2025，Vol.43Issue(9)：46-51,6.DOI:10.16669/j.cnki.issn.2097-5899.202410040001
技术站列车进路占用时段智能预测方法研究
Intelligent Prediction Method for Train Route Occupation Period in Technical Stations
摘要
Abstract
When the occupation period of train receiving and dispatching routes is accurately predicted in technical stations,it can provide auxiliary decision-making for dispatchers.This is significant for improving railway transportation command and operation control levels,as well as enhancing the overall carrying capacity of stations.Therefore,this paper first analyzed the process of train receiving and dispatching operations in technical stations to sort out the factors influencing the occupation period of receiving and dispatching routes.Second,this paper proposed the overall scheme,algorithm selection,and data preprocessing methods of the intelligent prediction model.An intelligent prediction model was also constructed for the train route occupation period.Then,actual data was used to verify the intelligent prediction model,and the results show an ideal training effect of the model.Finally,a scheme for integration and optimization was proposed based on the current status of the automatic route trigger function in the synthetic automation of marshalling(SAM)system.关键词
技术站/列车接发/进路占用时段/智能预测/随机森林Key words
Technical Station/Train Receiving and Departure/Route Occupancy Period/Intelligent Prediction/Random Forest分类
交通工程引用本文复制引用
李瑞辰,尚麟宇,刘逸明,杨雨佳..技术站列车进路占用时段智能预测方法研究[J].铁路物流,2025,43(9):46-51,6.基金项目
中国铁道科学研究院集团有限公司通信信号研究所科研项目(2023TH04) （2023TH04）
