车流-列流协调的铁路日常重车流调整优化研究  

Optimization of Daily Loaded Railway Car Flow Adjustment Considering Car Flow and Train Flow Coordination

作　　者：李光晔 何世伟[1] 吴艺迪 王攸妙 迟居尚 LI Guangye;HE Shiwei;WU Yidi;WANG Youmiao;CHI Jushang(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044

出　　处：《铁道学报》2025年第4期25-32,共8页Journal of the China Railway Society

基　　金：国家自然科学基金(62076023);中国国家铁路集团有限公司科技研究开发计划(P2023S006)。

摘　　要：为适应日常货物运输需求波动,在提高运输需求兑现率的同时合理利用运力资源,提出考虑车流-列流协调的铁路重车流调整优化方法。以基本运行图为基础构建双层时空网络,以缩短重车停留时间、降低运输成本和提高运输需求兑现率为优化目标,在考虑节点流量平衡、列车满轴满重、解编作业时间、车站存车能力、车站接发车能力等约束的同时,完整描述日常车流调整过程中车流和列流的转化过程。为提升模型求解效率,设计拉格朗日松弛算法。以我国中部地区实际路网进行案例分析,该方法平均提升OD兑现8.5支,平均兑现率提升比为12.3%,能够缩短重车停留时间,降低运输成本,提高运输需求兑现率及调整方案的可行性。In order to adapt to the fluctuations in daily cargo transportation demands,enhance the fulfillment rate of transportation demands,and efficiently utilize transportation resources,an optimization method for the adjustment of loaded car flow was proposed in this paper,considering the coordination between car flow and train flow.Based on the fundamental operating schedule,a basic double-layer space-time network was constructed with the optimization goals of reducing the dwell time of loaded trains,transportation costs,and improving the fulfillment rate of transportation demands.While considering constraints such as node flow balance,full loading rate of train,marshalling and disassembling operation time,station storage capacity,and station train dispatching capacity,a comprehensive description of the transformation process between car flow and train flow during the routine traffic adjustment was provided.In order to improve the efficiency of model solving,Lagrangian relaxation algorithm was studied.A case study based on the railway networks of two adjacent railway companies in China confirms the daily railway loaded car flow adjustment.The approach proposed in this paper can increase OD fulfillment by an average of 8.5,with an average improvement rate of 12.3%in fulfillment rate,reduce dwell time of loaded trains,lower transportation costs,improve the fulfillment rate of transportation demands,as well as the feasibility of adjustment plans.

关 键 词：铁路运输 重车调整 双层时空网络 改进的A^(*)算法 拉格朗日松弛算法 

分 类 号：U268.6[机械工程—车辆工程]