Urban Rail Transit Rolling Stock Scheduling Optimization with Shared Depot

被引：1
|
作者：
Feng, Jia [1 ,2 ]
Li, Guowei [1 ,2 ]
Shi, Yuxin [1 ,2 ]
Li, Zhengzhong [3 ]
Liu, Shanshan [4 ]
机构：
[1] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Intergrated Transport Res Ctr China, Beijing 100044, Peoples R China
[3] Tianjin Transportat Res Inst, Tianjin 300074, Peoples R China
[4] Yunnan Jingjian Rail Transit Investment & Constru, Kunming 650500, Yunnan, Peoples R China
来源：
SUSTAINABILITY | 2022年 / 14卷 / 22期
基金：
中国国家自然科学基金;
关键词：
urban rail transit; rolling stock scheduling; network operation; shared train depot; MILP; CIRCULATION MODEL;
D O I：
10.3390/su142215075
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper presents a coordinated model to optimize the rolling stock scheduling of two urban rail transit lines with a shared train depot. The proposed integrated and extended integrated optimization problems are transformed into mixed integer linear programming (MILP) problems, which can be efficiently solved by an ant colony optimization algorithm. Numerical examples based on the Beijing Subway System are implemented to demonstrate the performance of the proposed models and solution approach.
引用
收藏
页数：16
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