考虑托运人运输路径选择的货运班列开行方案优化OA
Freight train operation plan optimization with shippers'transport path selection considered
货运班列作为铁路运输的重要载体,其开行方案直接影响运输资源配置效率与服务能力.现行开行方案多以运力供给为主导,缺乏对托运人路径选择行为的考虑,导致货运班列资源配置效率偏低、市场吸引力不足.为提升运输服务适配性与运营效益,本研究构建考虑托运人路径选择的货运班列开行方案与列车运行图联合优化模型.以铁路运营收益最大化为目标,采用巢式Logit模型刻画托运人的惯性偏好和非惯性偏好,将运行图、维修天窗、载货与编组等关键要素纳入模型约束,并为求解该非线性整数规划模型设计嵌套CPLEX的粒子群算法(particle swarm optimization,PSO).由成都至洛杉矶的算例分析可知,开行方案与运行图联合优化后铁路运输路径的选择比例达到56.6%,铁路运营收益为301 608元.若不考虑托运人路径选择行为或忽略运行图联合优化,铁路运输时间会大幅延长,导致铁路运输路径的选择比例分别下降42.0%和45.7%.进一步敏感性分析显示,当托运人时间效用系数从0.01提升至1.0倍时,路径选择比例由30.5%增至56.6%;中转作业时间延长9倍时将导致路径选择比例从56.6%下降至19.1%.研究结果表明,考虑托运人路径选择行为的货运班列开行方案能够有效提升铁路运输服务的市场吸引力与运营收益,为实现运输结构调整与铁路货运高质量发展提供理论支持与决策依据.
As a critical component of railway freight transportation,the freight train operation plan directly influences the efficiency of transportation resource allocation and the level of service capacity.Current operation plans are predominantly supply-oriented,with limited consideration of shippers'path selection behavior,resulting in low resource allocation efficiency and insufficient market attractiveness of freight trains.To improve the adaptability of transport services and the operational efficiency,this study developed a joint optimization model for freight train operation plans and train diagram considering shippers'path selection behavior.Aiming to maximize the overall operational profit of the railway system,this study employed a nested Logit model to capture both the inertial and non-inertial preferences of shippers.Key operational elements,including train diagram,maintenance windows,loading capacity,and train formation,were incorporated as constraints into the nonlinear integer programming model.To solve the proposed model efficiently,a particle swarm optimization(PSO)algorithm embedded with CPLEX was designed.A case study on the Chengdu-Los Angeles demonstrates that,following the joint optimization of the operation plan and train diagram,the proportion of shippers selecting the rail transport path can reache 56.6%,yielding a total railway transport revenue of 301 608 RMB.If shippers'path selection behavior is not considered or the joint optimization with train diagram is neglected,the railway transportation time will be significantly extended,leading to a decrease in the proportion of shippers selecting the railway transport path by 42.0%and 45.7%,respectively.Further sensitivity analyses reveal that as the shippers'time utility coefficient increases from 0.01 to 1.0,the path selection proportion rises from 30.5%to 56.6%.Conversely,a ninefold increase in transshipment time results in a decrease of the path selection proportion from 56.6%to 19.1%.The research findings indicate that incorporating shippers'path selection behavior into freight train operation planning can effectively enhance both the market attractiveness and operational revenue of railway freight services.This approach can offer theoretical support and practical guidance for advancing transport structure adjustment and promoting the high-quality development of railway freight.
杜剑;林姗;张然;陈奕璇;周杰;吴暖
大连交通大学 交通工程学院,辽宁 大连 116028大连交通大学 交通工程学院,辽宁 大连 116028大连交通大学 交通工程学院,辽宁 大连 116028大连交通大学 交通工程学院,辽宁 大连 116028大连交通大学 交通工程学院,辽宁 大连 116028大连交通大学 交通工程学院,辽宁 大连 116028
交通工程
铁路货运班列运输路径选择开行方案列车运行图联合优化
railway freight traintransport path selectionoperation plantrain diagramjoint optimization
《铁道科学与工程学报》 2026 (3)
1096-1110,15
国家自然科学基金资助项目(72404046)辽宁省属本科高校基本科研业务费专项资金资助(LJ212410150001)
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