铁道运输与经济2025，Vol.47Issue(3)：1-8,8.DOI:10.16668/j.cnki.issn.1003-1421.2025.03.01
基于网络流和需求情景的铁路货运路网车流分配研究
Train Flow Distribution of Railway Freight Networks Based on Network Flow and Demand Scenarios
摘要
Abstract
The characteristics of dynamic changes and phased concentration of railway freight demands lead to the phenomenon of"having goods without the transportation capacity or having the transportation capacity without goods"in freight railways and stations along the railway line.The single transportation organization mode of transporting goods by fixed routes can no longer adapt to the changing transportation demands.In order to make the capacity and demands more matched and the train flow organization more flexible and efficient,this paper used the network flow theory and proposed the train flow distribution and route optimization of railway freight networks based on the demand scenario analysis.The paper then transformed the problem of adopting a fixed train flow organization mode under dynamic demands into the problem of adopting the train flow organization mode with different emphases under three demand scenarios.At the same time,the paper constructed the train flow distribution and route optimization model of railway freight networks based on demand scenarios.Finally,taking the Tangshan-Baotou Line as an example,the paper used Python to call Gurobi and utilized single-day coal transportation data to verify the model.The results show that the model can distribute the train flow to railway lines in a balanced way and release the transportation capacity of railway lines with limited capacity to some extent.It can assist operation decisions and provide the theoretical reference for the Tangshan-Baotou Line to increase transportation increment.关键词
铁路货物运输/车流径路优化/网络流理论/需求情景分析/煤炭运输Key words
Railway Freight Transportation/Train Flow Route Optimization/Network Flow Theory/Demand Scenario Analysis/Coal Transportation分类
交通运输引用本文复制引用
张琪,赵广富,寇玮华,宋蔚峰,卢奇文,陈立强..基于网络流和需求情景的铁路货运路网车流分配研究[J].铁道运输与经济,2025,47(3):1-8,8.基金项目
中国国家铁路集团有限公司科技研究开发计划课题(Q113623S04005) （Q113623S04005）
