摘要
以解编车流作业规则和系统资源限制为约束,构造不同目标函数下铁路枢纽编组站作业分工数学模型,给出折角车流理论最大值和最小值及相应编组站作业分工方式及车流条件。基于折角车流变化的复杂性和多样性,将外部车流环境视为一个动态的随机输入,以特定铁路枢纽为背景用计算机模拟技术和遗传算法计算不同条件下折角车流数值解。通过对模拟数据趋势变化比较分析,提出铁路枢纽运输组织不应过分追求折角车流最小等结论。
Subject to the operation rules of traffic classification and the restraint of system resources, the mathematical model for tarffic assignment of yards based on different objective functions is built in this paper. The academic maximum and minimum angular traffic flow are presented, associated with the schemes for traffic assignment of classification yards and the traffic condition that correspond to the angular traffic flow. Considering the complexity and variety of the change of the angular traffic flow, this paper sets the outside traffic condition as a dynamic random input, and the numerical values of angular traffic flow for a specific railway hub under different conditions are calculated using the computer simulation method and genetic algorithms. Based on comparison and analysis of the variable trend of simulation results, the paper presents its conclusions and suggestions that traffic organization in railway hub should not wrestle for achieving minimum angular traffic flow too much.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2003年第2期115-120,共6页
China Railway Science
基金
兰州铁道学院青蓝人才工程资助项目
关键词
铁路枢纽
折角车流
数值分析
计算机模拟
编组站
作业分工
Railway hub
Angular traffic flow
Traffic assignment of yard
Numerical estimation
Computer simulation