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基于点-弧、弧-路模型的集装箱循环班列车流组织研究

Car flow organization of the shuttled block container train based on node-arc and arc-path models
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摘要 立足“公转铁”和“散改集”货源,基于集装箱运输需求的变化性和区域的不均衡性,为了实现集装箱和车辆的均衡发展、改善集装箱运输组织模式,从而充分利用铁路运输能力、提升铁路货运服务质量,围绕一种新型集装箱班列组织模式—固定车底循环班列,探讨其开行条件、班列走行径路等问题。以空车总走行距离最小为目标建立集装箱固定车底循环班列车流组织的点-弧模型,以求解循环班列的弧段选用和弧段上分配的箱流量;考虑循环班列的走行径路特点,以空车总运输成本最小为目标建立弧-路模型,以求解循环班列的走行路径和弧段上分配的箱流量。基于20英尺35 t通用箱的市场使用情况,以35 t通用箱的运单数据作为实证研究,设计搜索循环班列可行路径的算法,利用Gurobi求解器求解2种模型,分析求解结果得到了车流组织方案。对比分析2类模型在计算效率和求解结果等方面的区别,验证了模型的有效性。案例结果表明:点-弧模型求解速度快但无法直观得到走行径路和分配结果,弧-路模型对大规模网络的求解效率较低但能直接得到走行径路和分配结果,集装箱循环班列的车流组织方案可根据运输需求的空间分布和运输组织的复杂性进行调整,以提升运输效率。本研究成果能够为丰富铁路货运产品、设计循环班列组织方案提供理论方法。 For the freight traffic source fromroad to railandbulk to container,based on the variability of container transport demand and regional imbalance,the significance of the study is to realize the balanced development of containers and cars,improve the container transport organization mode,so as to make full use of railway transport capacity and improve the quality of railway freight service.Focused on a new organizational mode for container trainsfixed-trainset shuttled block trains,this study explored the operational conditions and flow routings of cars.A node-arc model of the organization of car flow for the shuttled block container train was established with the objective of minimizing the total distance travelled by empty cars in order to solve for the selection of arcs of the shuttled block container trains and the freight flow volume allocated on the arcs.Considering the running path characteristics of the shuttled block container trains,the arc-path model was developed with the objective of minimizing the total transportation cost of empty cars to solve for the shuttled block container train running paths and the freight flow volume allocated on the arcs.With the utilization of 20 ft 35 t general purpose containers,the waybill data of 35 t general purpose container was adopted as an empirical study.The algorithm was designed to search for feasible paths for the shuttled block container trains.The proposed models were solved by Gurobi solver to verify the validity of the model and obtain the car flow organization,and their differences in terms of calculation efficiency and solution results were compared.The computational results show that the node-arc model is effcient but unable to visualize the running paths and allocation results.The arc-path model is less efficient for solving large-scale networks,but can directly obtain the running paths and allocation solutions.The operation scheme of shuttled block trains can be adjusted according to the spatial distribution of transport demand and the complexity of tr
作者 李思雨 杨凯丽 董欣垒 郎茂祥 于乃康 LI Siyu;YANG Kaili;DONG Xinlei;LANG Maoxiang;YU Naikang(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Zhengzhou Railway Vocational&Technical College,Zhengzhou 451460,China;Institute of Integrated Transport,National Development and Reform Commission,Beijing 100000,China)
出处 《铁道科学与工程学报》 EI CAS CSCD 北大核心 2024年第2期510-521,共12页 Journal of Railway Science and Engineering
基金 国家自然科学基金联合基金资助项目(U2034208)。
关键词 铁路运输 走行径路 车流组织 集装箱循环班列 点-弧模型 弧-路模型 railway transportation running path car flow organization shuttled block container trains node-arc model arc-path model
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