出 处:《铁道科学与工程学报》2024年第12期4971-4982,共12页Journal of Railway Science and Engineering
基 金:中央高校基本科研业务费专项资金资助项目(2022JBQY005)。
摘 要:为了优化重载铁路车辆资源利用,促进铁路物流企业“降本增效”。以重载铁路为问题背景,以煤炭和非煤需求为运输任务,以最小化车列的运输、组合、分解、接续费用和货物运输惩罚等各部分费用为目标,考虑车列的编组类型以及车辆类型的接续一致性等要求,构建统筹去程煤炭运输、返程非煤运输与空列分配的重空列协同运输组织优化模型。首先设计7站点单通道线路案例,采用Gurobi求解器进行案例求解,分析求解结果得到运输组织方案,并可视化展示了模型有效性和方案可行性。接着选取SH集团内连接20个铁路站点的运输网络作为研究案例,首先仅考虑车辆类型因素,分别在运力紧张和运力充足的场景下进行实验。其次,在上述实验基础上进一步将返程需求纳入考虑,在2种运力场景中进行实验。结果表明,仅考虑车辆类型差异因素的实验中,2种需求场景下,考虑车型差异分别带来7.0%与8.3%的运输成本上涨,但此方案考虑了不同类型货车的分配情况与其不混编等特性,更具可实施性。将返程需求纳入考虑后,总成本相比对照组仅增加1.03%和1.06%的情况下,车底平均承担的运输量分别提高了1.16%和1.18%,减少了返程运力浪费,若对利用回空车辆运输返程需求给予一定奖励,总成本能得到一定下降,运输方案更具竞争力;且在不同类型车辆数量富足的情况下,列车组成车型以C80、C70为主的运输方案运输成本更小。研究结果可为成本更小地运用货车车辆资源,精细化重载铁路去、返程运输组织提供参考。In order to optimize the utilization of heavy-haul railway vehicle resources and promote the“cost reduction and efficiency increase”of railway logistics enterprises.By taking the heavy-haul railway as the background,taking the coal and non-coal demand as the transportation task,minimizing the cost of transportation,combination,disassembly,and connection of trains,as well as the cost of transporting goods as the goal,and considering the requirements of the marshalling type of the train and the continuity consistency of the vehicle type,the optimization model of the loaded and empty train cooperative organization was constructed to coordinate the outbound coal transportation,the return non-coal transportation and the allocation of empty trains.First,a 7-station single-channel line case was designed,and the Gurobi solver was used to solve the case,and the transportation organization scheme was obtained by analyzing the solution results,and the effectiveness of the model and the feasibility of the scheme were visually demonstrated.Then,the transportation network connecting 20 railway stations in the SH Group was selected as a case study.Only the type of vehicle was considered,and the experiments were carried out in the scenarios of tight capacity and sufficient capacity.Second,based on the above experiments,the return demand was further taken into account,and the experiments were carried out in two capacity scenarios.The results show that in the experiment with only the difference of vehicle types,the transportation cost increases by 7.0%and 8.3%under the two demand scenarios,respectively,but this scheme is more feasible because it considers the distribution of different types of vehicles and their non-mixed characteristics.After taking the return demand into account,the total cost increased by only 1.03%and 1.06%compared with the control group,and the average transportation volume undertaken by the vehicle increased by 1.16%and 1.18%,respectively,which reduced the waste of return capacity.Moreover,in the case of
关 键 词:重载铁路 运输组织 协同优化 车辆类型 返程非煤运输
分 类 号:U29[交通运输工程—交通运输规划与管理]
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