铁道运输与经济2025，Vol.47Issue(3)：20-29,10.DOI:10.16668/j.cnki.issn.1003-1421.2025.03.03
不确定条件下公铁协同运输路径优化与货运量分配模型
A Model for Optimizing Routes and Freight Volume Distribution of Road-Rail Cooperative Transportation Based on Uncertainties
摘要
Abstract
There are problems of high transportation costs and low service efficiency of a single route and a single mode of transportation in the process of freight transportation,and the cargo may be affected by uncertainties in the transportation process.In order to address these issues,this paper started from the carrier's point of view,relied on the existing transportation network to distribute the freight flow,and conducted research on transportation route optimization and freight volume distribution of road-rail cooperative transportation based on uncertainties.Firstly,by taking the network transportation capacity and delivery time as the constraints and the transportation cost,transit cost,distribution cost,overtime penalty,and storage penalty cost as the cost objectives,the uncertainties were processed into random parameters,and the model of minimizing the total cost of transportation was constructed.Secondly,an improved simulated annealing algorithm was designed for model solving.Finally,the validity and rationality of the model and the algorithm were verified by solving the small-scale arithmetic cases.The results show that the model can help carriers avoid risks in advance,maximize the use of transportation resources to plan transportation schemes,and further improve cargo transportation efficiency and freight service levels.关键词
公铁协同运输/不确定条件/模拟退火算法/货流可拆/运量分配Key words
Road-Rail Cooperative Transportation/Uncertainty/Simulated Annealing Algorithm/Freight Flow Distribution/Freight Volume Distribution分类
交通工程引用本文复制引用
张凯悦,钱名军,高铭,韩紫金..不确定条件下公铁协同运输路径优化与货运量分配模型[J].铁道运输与经济,2025,47(3):20-29,10.基金项目
甘肃省教育厅高等学校创新基金项目(2020A-038) （2020A-038）
兰州交通大学青年基金项目(2014029) （2014029）
