摘要
车流组织是铁路行车工作的一项重要内容,是铁路运输组织的基础。采用计算机集中编制和优化全路货物列车开行方案,建立统一的信息管理系统,能更好地解决列车编组计划和列车运行图编制等一系列铁路运输组织的核心问题,对优化编组站分工,提高铁路网通过能力,节约运输成本,提高运输效率和经济效益具有重要作用。通过研究货物列车开行方案与车流输送的关系,按全路技术站划分车流,运用最短径路法进行车流最佳归属计算,建立全路车流和列车信息库,结合铁路运输实际,把必选方案和待选方案进行随机组合,经过大量独立计算和修正,综合比较分析后,选择一个较优方案,适当调整,作为全路列车去向总框架,为铁路优化列车编组计划提供技术支撑。
Traffic flow organization is an important part of railway train operation and the foundation of railway transportation organization. Using computers to compile and optimize the railway freight train operation scheme and establishing a unified information management system can better solve core problems of railway transportation organization, such as train marshaling plan and train diagram compilation, which can play an important role in optimizing the division of labor of marshaling station, enhancing the carrying capacity of the railway network, saving transportation costs, and improving transportation efficiency and economic benefits. By studying the relationship between freight train operation scheme and traffic flow transportation, this paper divided the traffic flow according to railway technical stations,calculated the optimal ownership of the traffic flow by the shortest path method, and established the database of railway traffic flows and train information. In view of the actual railway transportation, the compulsory and optional schemes were randomly combined. After massive independent calculations and corrections, a comparative analysis was carried out comprehensively, and an optimal scheme was selected and regarded as the general framework of railway train directions through appropriate adjustment, which provides technical support for optimizing the railway train marshaling plan.
作者
刘洪亮
LIU Hongliang(Transportation Department,China Railway Jinan Group Co.,Ltd.,Jinan 250001,Shandong,China)
出处
《铁道运输与经济》
北大核心
2022年第6期35-39,共5页
Railway Transport and Economy
基金
中国国家铁路集团有限公司科技研究开发计划课题(J2020X002)
中国铁路济南局集团有限公司科技研究开发计划课题(2022Y03)。
关键词
车流组织
编组计划
数据库
集中编制
方案优化
Traffic Flow Organization
Marshalling Plan
Database
Centralized Compilation
Scheme Optimization
