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基于货物运到期限的列车运行线选择优化研究 被引量:10

Study on Optimization of Train Path Selection Based on Freight due Date
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摘要 采用规划型运输组织模式,根据货运市场动态需求,基于实施日进行铁路货物列车运行图编制是提高铁路货物运输时效性、实现铁路货运改革创新的关键。实现流线结合,对于动态的车流合理选择运行线进行挂运,即将车流指派到运行线对应的列车上,是确定货物运输方案的核心工作。确定的运行线不同,货物运输时间则不同,基于此,可为货主提供多种运到期限选择方案。以车流在途运输时间最小为优化目标,以货物列车运输能力、技术站有调中转作业时间等为约束条件,构建基于货物运到期限的列车运行线选择0-1整数规划模型;模型采用模拟退火算法求解,并提出了运行线选择的k短路算法;最后通过算例分析,验证了模型及算法的有效性。 Adopting the planning type transportation organization mode,along with compiling freight train timetable according to the dynamic demand of freight market based on implementation day,are the keys to improve the timeliness of railway freight transport and achieve the reform and innovation of railway freight operation. To achieve the tight combination of freight flow and train path,selecting the train paths appropriate for the freight flows is the core of freight trip planning. Different train paths correspond to different freight delivery time,which provides the shippers with a variety of trip plan options based on the due date. With the minimum transport time of cargo as the optimization objective,and the transport capacity of the cargo trains and the transit time in the technical stations as constraints,a 0-1 integer programming model was constructed. A k shortest paths algorithm based on simulated annealing algorithm for the train path selection was proposed. Finally,an example was given to demonstrate the validity of the model and the algorithm.
作者 张小炳 李晟东 吕红霞 徐长安 ZHANG Xiaobing;LI Shengdong;L Hongxia;XU Changan(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National Railway Train Diagram Research and Training Center,Southwest Jiaotong University,Chengdu 610031,China;National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation,Chengdu 610031,China)
出处 《铁道学报》 EI CAS CSCD 北大核心 2019年第5期10-15,共6页 Journal of the China Railway Society
基金 国家自然科学基金(61273242,61403317,61703351) 中国铁路总公司科技研究计划(2016X006-D)
关键词 货物运输 运到期限 运行线选择 k短路 freight transportation due date train path selection k shortest paths
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