摘要
针对铁路客运高峰期席位负载资源分配不均、静态分配模式效率低下等问题,研究基于访问量预测的铁路席位数据动态负载均衡策略。通过构建访问量预测模型,结合迁移成本约束,设计了动态负载均衡策略和席位自动迁移方法,实现席位资源的动态再分配。该策略和方法可有效提高席位利用率,降低中国铁路客票发售和预订系统(简称:客票系统)负载的不均衡度,为客票系统的资源优化提供新的解决方案。
In response to the problems of uneven allocation of seat load resources and low efficiency of static allocation mode during peak periods of railway passenger transport,this paper studied a dynamic load balancing strategy for railway seat data based on visitation prediction.The paper constructed a visitation prediction model and combined migration cost constraints to design a dynamic load balancing strategy and automatic seat migration method,implement dynamic reallocation of seat resources.This strategy and method could effectively improve seat utilization,reduce the imbalance of load in China railway ticketing and reservation system(referred to as the ticket system),and provide new solutions for resource optimization of the ticket system.
作者
刘国峰
李士达
王元媛
吴首蓉
卢元惠
LIU Guofeng;LI Shida;WANG Yuanyuan;WU Shourong;LU Yuanhui(Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁路计算机应用》
2025年第8期1-6,共6页
Railway Computer Application
基金
中国国家铁路集团有限公司科技研究开发计划系统性重大项目(P2024S002)。
关键词
动态负载均衡
铁路席位
自动迁移
资源优化
访问量预测
dynamic load balancing
railway seats
automatic migration
resource optimization
visitation prediction
