杨菊花,张俊峰,田志强,孙国锋,宋琦,刘磊

• 1:兰州交通大学交通运输学院
• 2:兰州交通大学高原铁路运输智慧管控铁路行业重点实验室

摘要(Abstract)：

为研究高速铁路客货混合运输系统中列车时刻表与货物配装协同优化问题，构建面向旅客与高铁快运双需求的列车时刻表与货物配装方案协同优化模型。首先，结合高铁快运组织实际，定义高铁快运时间窗，量化货物运输时效需求。其次，以列车到发时刻、列车客货车厢分配方案、客流分配方案和货物配装计划为决策要素，综合考虑旅客运输需求、货物运输时效、列车运行约束和列车运输能力等约束，构建混合整数非线性规划模型，并采用McCormick包络法对模型进行线性化处理。最后，以武广高铁客货混合运输系统为背景，验证模型的有效性。案例结果表明，所构建模型能够有效协调旅客运输与高铁快运需求，在充分满足旅客需求的前提下，高铁快运箱运输完成率达到85.76%,系统货运收益达到88.907万元。与分阶段优化方案相比，协同优化方案仅使旅客总旅行时间增加0.46%,而系统运输快运箱数和货运收益分别提高10.24%和10.69%。研究结果表明，该方法能够在保障旅客服务水平的同时提升高铁快运组织效率和系统综合效益，为高速铁路客货混合运输系统资源配置与列车运行组织提供理论支撑和决策参考。

关键词(KeyWords)： 高速铁路;客货混合运输系统;列车时刻表;快运配装;混合整数规划

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(U2568220,52472344,71761023);; 中央引导地方科技发展资金(24ZYQA044,25ZYJA015);; 甘肃省重点自然科学基金(24JRRA223);; 兰州市青年科技人才创新项目(2025-QN-070);; 甘肃省科技计划(H20240178)

作者(Author): 杨菊花,张俊峰,田志强,孙国锋,宋琦,刘磊

参考文献(References)：

• [1] 我国高铁快运服务在全国所有高铁城市试行[J].铁道学报，2016,38(11):131.The high-speed railway express service is piloted in all high-speed railway cities nationwide [J].Journal of the China Railway Society,2016,38(11):131.
• [2] Qi J G,Zhou Y R,Meng F T,et al.Joint optimization of train stop planning and timetabling with time-dependent passenger and freight demands in high-speed railway [J].Transportation Research Part C:Emerging Technologies,2025,172:105025.
• [3] Zhang C T,Xu Z,Yang L X,et al.Robust train carriage planning for mixed transportation of passengers and uncertain freights in a high-speed railway network [J].Transportation Research Part B:Methodological,2025,196:103216.
• [4] 米雷，卢亚菡，杨立兴，等.客货混运下高铁运行图与货物配装方案协同优化[J].控制与决策，2025,40(1):308-316.Mi Lei,Lu Yahan,Yang Lixing,et al.Integrated optimization of the train timetable and freight allocation on shared freight and passenger high-speed railway system [J].Control and Decision,2025,40(1):308-316.
• [5] 董晋廷，朱晓宁，王力.面向实时需求的高铁快运列车运输组织方案协同优化研究[J].铁道科学与工程学报，2024,21(6):2172-2182.Dong Jinting,Zhu Xiaoning,Wang Li.The collaborative optimization of high-speed railway freight train transportation organization scheme for real-time demand [J].Journal of Railway Science and Engineering,2024,21(6):2172-2182.
• [6] 杨喜梅，康柳江，孙会君，等.旅客列车捎带模式下的高铁快运网络配装方案优化[J].系统工程理论与实践，2024,44(5):1699-1713.Yang Ximei,Kang Liujiang,Sun Huijun,et al.Demand assignment for express delivery in high-speed railway networks:a passenger train delivery mode [J].Systems Engineering—Theory & Practice,2024,44(5):1699-1713.
• [7] Pazour J A,Meller R D,Pohl L M.A model to design a national high-speed rail network for freight distribution [J].Transportation Research Part A:Policy and Practice,2010,44(3):119-135.
• [8] Bi M K,He S W,Xu W A.Express delivery with high-speed railway:definitely feasible or just a publicity stunt [J].Transportation Research Part A:Policy and Practice,2019,120:165-187.
• [9] 郑倩，甘蜜，姚竹，等.面向高速铁路货运站选址的深度学习模型研究[J].铁道学报，2024,46(6):36-45.Zheng Qian,Gan Mi,Yao Zhu,et al.Research on deep learning model for location of high-speed railway freight stations [J].Journal of the China Railway Society,2024,46(6):36-45.
• [10] 金伟，李夏苗，周凌云，等.基于列生成算法的高速铁路快捷货运组织方案优化研究[J].铁道学报，2020,42(9):26-32.Jin Wei,Li Xiamiao,Zhou Lingyun,et al.Research on optimization of high-speed railway freight transportation organization scheme based on column generation algorithm [J].Journal of the China Railway Society,2020,42(9):26-32.
• [11] 李东颖，王力，朱晓宁，等.高速铁路快运末端货物取送一体化优化研究[J].铁道学报，2024,46(6):11-21.Li Dongying,Wang Li,Zhu Xiaoning,et al.Research on optimization of terminal cargo integrated pickup and delivery for high-speed railway express [J].Journal of the China Railway Society,2024,46(6):11-21.
• [12] 徐光明，郭婧，陈婉茹，等.考虑随机运能和送到时限的高铁快递运输计划优化方法[J].控制与决策，2024,39(8):2755-2764.Xu Guangming,Guo Jing,Chen Wanru,et al.Optimization method for high-speed railway express transport plan considering stochastic capacity and delivery time windows [J].Control and Decision,2024,39(8):2755-2764.
• [13] 姚玉莹，张玉召.客车捎带模式下高铁快捷货物输送方案研究[J].铁道科学与工程学报，2020,17(1):31-38.Yao Yuying,Zhang Yuzhao.Study on express freight transport scheme of high-speed rail in piggyback mode of passenger car [J].Journal of Railway Science and Engineering,2020,17(1):31-38.
• [14] 高如虎，牛惠民，杨喜梅.面向时变需求的高铁快运专列时刻表和配装方案综合优化研究[J].交通信息与安全，2020,38(4):122-131.Gao Ruhu,Niu Huimin,Yang Ximei.Coordinating train timetable and demand assignment for express delivery with high-speed railway with time-dependent-oriented demand [J].Journal of Transport Information and Safety,2020,38(4):122-131.
• [15] Newell G F.Dispatching policies for a transportation route [J].Transportation Science,1971,5(1):91-105.
• [16] Chang Y H,Yeh C H,Shen C C.A multiobjective model for passenger train services planning:application to Taiwan’s high-speed rail line [J].Transportation Research Part B:Methodological,2000,34(2):91-106.
• [17] Niu H M,Zhou X S.Optimizing urban rail timetable under time-dependent demand and oversaturated conditions [J].Transportation Research Part C:Emerging Technologies,2013,36:212-230.
• [18] Barrena E,Canca D,Coelho L C,et al.Single-line rail rapid transit timetabling under dynamic passenger demand [J].Transportation Research Part B:Methodological,2014,70:134-150.
• [19] 田小鹏，牛惠民，韩瑛.面向需求的城际列车时刻表与停站方案同步优化[J].交通运输系统工程与信息，2023,23(2):197-207.Tian Xiaopeng,Niu Huimin,Han Ying.Collaborative optimization of demand-oriented train timetabling and stop planning for intercity railways [J].Journal of Transportation Systems Engineering and Information Technology,2023,23(2):197-207.
• [20] 戚建国，周亚茹，杨立兴，等.客货共运模式下高铁列车货运兼办方案优化[J].北京交通大学学报，2023,47(4):1-11.Qi Jianguo,Zhou Yaru,Yang Lixing,et al.Optimization strategies for freight on high-speed railway trains under co-transportation of passenger and freight [J].Journal of Beijing Jiaotong University,2023,47(4):1-11.
• [21] 李竹君，柏赟，陈垚.客货共运下机场线列车运行计划与货运分配方案协同优化[J].交通运输系统工程与信息，2022,22(5):154-163.Li Zhujun,Bai Yun,Chen Yao.Integrated optimization of train service planning and shipment allocation for airport expresses under mixed passenger and freight transportation [J].Journal of Transportation Systems Engineering and Information Technology,2022,22(5):154-163.
• [22] Li S Q,Zhu X N,Shang P,et al.Optimizing a shared freight and passenger high-speed railway system:a multi-commodity flow formulation with Benders decomposition solution approach [J].Transportation Research Part B:Methodological,2023,172:1-31.