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铁路枢纽双编组站静态配流协同优化研究

户佐安 朱雨 怡智航 陈将

铁道运输与经济2024,Vol.46Issue(1):17-25,9.
铁道运输与经济2024,Vol.46Issue(1):17-25,9.DOI:10.16668/j.cnki.issn.1003-1421.2024.01.03

铁路枢纽双编组站静态配流协同优化研究

Collaborative Optimization of Static Flow Allocation in Double Marshalling Stations of Railway Hub

户佐安 1朱雨 2怡智航 2陈将3

作者信息

  • 1. 西南交通大学 交通运输与物流学院,四川 成都 611756||西南交通大学 综合交通大数据应用技术国家工程实验室,四川 成都 611756||西南交通大学 综合交通运输智能化国家地方联合工程实验室,四川 成都 611756
  • 2. 西南交通大学 交通运输与物流学院,四川 成都 611756
  • 3. 中国铁路成都局集团有限公司 遂宁车务段,四川 遂宁 629000
  • 折叠

摘要

Abstract

Collaborative flow allocation across marshalling stations in the hub helps optimize the wagon flow connection and improve the overall quality of flow allocation.The idea of collaborative flow allocation across marshalling stations was introduced.This paper built a collaborative programming model for static wagon-flow combined allocation of double marshalling stations in the hub,aiming to minimize the total cost of the double marshalling stations and maximize the total number of full-axle trains in the double marshalling stations.This model considered the constraints of wagon flow volume,time of trains'arrival,breaking-up,marshalling,departure,and the junction terminal transfer trains'running time.The constraints of the loading limit of departure trains and the use of shunting locomotives were also involved in the model.The paper took train rank,number of directions,and departure time ranking as the cost of wagon flow allocation.The ideal point algorithm was designed to solve the problem,which transformed multiple objects into a single object.Finally,the validity of the model and algorithm was verified by an example.The results show that the wagon-flow combined allocation of double marshalling stations can increase the total number of full-axle trains by 1,reduce the total number of cars stored in the station by 13,and reduce the total cost of allocation by 5.4%compared with the separate allocation of two marshalling stations,achieving a better allocation effect.

关键词

铁路运输/配流/技术站/协同/混合整数非线性规划

Key words

Rail Transport/Wagon-flow Allocation/Technical Stations/Collaboration/Mixed Integer Nonlinear Programming

分类

交通工程

引用本文复制引用

户佐安,朱雨,怡智航,陈将..铁路枢纽双编组站静态配流协同优化研究[J].铁道运输与经济,2024,46(1):17-25,9.

基金项目

国家自然科学基金项目(61104175) (61104175)

四川省科技计划项目(2021YJ0067) (2021YJ0067)

铁道运输与经济

OA北大核心

1003-1421

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