基于运力共享的高铁快运货物搭载决策研究  

Cargo carrying decision-making method of high-speed railway express based on transportation capacity sharing

作　　者：杨京帅[1] 杨玉娥 李嫚嫚 张昊煜 丁楠 YANG Jingshuai;YANG Yu’e;LI Manman;ZHANG Haoyu;DING Nan(School of Automobile,Chang’an University,Xi’an 710064,China)

机构地区：[1]长安大学汽车学院,西安710064

出　　处：《系统工程理论与实践》2024年第6期2046-2058,共13页Systems Engineering-Theory & Practice

基　　金：陕西省自然科学基础研究计划(2023-JC-QN-0526);陕西省重点研发计划(2024GX-YBXM-530);中央高校基本科研业务费(300102222105)。

摘　　要：本文旨在为运力共享情境下的高铁快运提供货物搭载解决方案,实现高铁运力资源的充分利用.引入“路径”以刻画快运需求与快运服务车次的复杂关系,考虑车次载重、快运服务产品时限要求、站点工作能力等约束,构建运力共享模式下的高铁快运货物搭载决策模型.为求解大规模案例,以遗传算法为框架,基于快运服务产品、需求起讫点和车次优先级对搭载方案的影响,设计多装载规则遗传算法.以西成高铁为案例,利用Gurobi求解器证实模型正确.通过对比不同算法的求解表现,发现设计的3条装载规则合理,多装载规则遗传算法性能优越.敏感度分析结果表明,适当增加站点工作能力能够提高总利润;快运需求规模较小时,基于运力共享的快运组织模式比货运专列模式的适用性好.This paper aims to provide a cargo carrying solution for high-speed railway express under the situation of capacity sharing,and realize the full utilization of high-speed railway transportation capacity resources.The“path”is introduced to characterize the complex relationship between express demand and service train.Considering the constraints of train carrying volume,time limitation of service products and working capacity of platform,a decision-making model of high-speed railway cargo carrying under transportation capacity sharing is constructed.In order to solve the large-scale cases,a multi-loading rule genetic algorithm is designed with the framework of genetic algorithm based on the effects of priorities of service products,demand starting and ending points and service train on the loading scheme.The correctness of the model is verified by the Gurobi solver using the Xi’an-Chengdu high-speed railway case.By comparing the performance of different algorithms,it is found that the three loading rules designed are reasonable and the multi-loading rule genetic algorithm is with superior performance.The results of sensitivity analysis indicate that increasing the working capacities of stations can improve the total profit;the express transportation organization mode based on transportation capacity sharing is more suitable for small demand scenario than specialized high-speed railway freight trains.

关 键 词：高铁快运 运输组织模式 货物搭载 遗传算法 

分 类 号：U116.5[交通运输工程]