摘要
为充分利用高铁列车的剩余运输能力,提升铁路的经济效益,满足货运市场对于高时效、高安全性的运输要求,研究客货共运模式下基于既定列车时刻表及客座率的高速铁路动车组货物捎带的运输组织优化问题。首先,以前后2个周期的货物运输需求作为基础需求,区分不同附加值的货物进行差别运输,以高铁列车捎带运输货物的总成本最小为优化目标,考虑货物提前到达车站产生的仓储成本、货物逾期交付的违约成本以及因列车载运力限制等因素而无法给予运输服务影响客户信任的交付阻碍成本,同时满足区间列车载运力、车站装卸效率、运输唯一性等约束条件,构建高速铁路列车客货协同运输的优化模型。将该模型应用于沪昆高速铁路列车,并利用VB.NET语言调用CPLEX求解器进行数值实验。实验结果表明,在货运需求既定场景下,所建立的模型可以快速求解高质量捎带运输组织方案,且能够很好地满足不同货物运输时限需求,并兼顾考虑不同货物价值属性。其中,在450件随机货物运输需求,44趟高铁列车的配置下,货物装运率可达90%以上,不同运输时限货物的运载率均接近90%。通过对比区分和不区分货物价值情景下的优化方案,结果表明,区分货物价值后,高附加值货物的平均装运率显著高于未区分附加值时的装运率。研究结果可为高铁列车捎带运输模式运送不同运输时限和不同价值属性的货物提供较好的参考。
To fully utilize the remaining transportation capacity of high-speed trains,enhance the economic efficiency of railways,and meet the freight market’s demand for high timeliness and safety,this study investigated the optimization of cargo transport organization for high-speed rail trains under a passenger-freight co-transportation model.First,based on the cargo transport demand across two consecutive periods,this article differentiated between various goods of differing added value for targeted transportation.The optimization objective was to minimize the total cost of carrying cargo on high-speed trains,taking into account storage costs incurred when goods arrive at stations ahead of schedule,penalty costs for overdue deliveries,and delivery obstruction costs due to capacity limitations that affect customer trust.The model could adhere to constraints such as train carrying capacity,station loading and unloading efficiency,and the uniqueness of transportation.This model was applied to the Shanghai-Kunming high-speed railway and utilizes VB.NET to call the CPLEX solver for numerical experiments.The results indicate that,under predetermined freight demand scenarios,the established model rapidly generates high-quality transport organization schemes that adequately meet the timesensitive requirements of various goods while considering different value attributes.Specifically,with a configuration of 450 random cargo transport demands and 44 high-speed trains,the cargo loading rate can exceed 90%,with loading rates for goods of different transport time requirements also approaching 90%.Comparisons between optimization schemes with and without differentiation of goods value show that the average loading rate for high-value goods is significantly higher when differentiated by value than when not.The findings can provide valuable insights for the high-speed rail carry-on transport model concerning the shipment of goods with varying transport time requirements and different value attributes.
作者
孙洪霞
石俊刚
邸振
SUN Hongxia;SHI Jungang;DI Zhen(School of Transportation Engineering,East China Jiaotong University,Nanchang 330006,China)
出处
《铁道科学与工程学报》
北大核心
2025年第5期1949-1960,共12页
Journal of Railway Science and Engineering
基金
国家自然科学基金资助项目(72361012)
江西省高校人文社会科学研究项目(GL21232)
江西省自然科学基金资助项目(20242BAB204123)。
关键词
高铁快运
捎带运输模式
货物价值
时限需求
整数规划
high-speed rail express
piggyback transportation modes
cargo value
time-frame requirements
integer planning
