Railway transit network design based on fuzzy plant growth simulation algorithm.

被引：2
|
作者：
Meng, Xuelei [1 ,2 ]
Wang, Yahui [3 ]
Qin, Yong [2 ]
Xiang, Wanli [1 ]
机构：
[1] Lanzhou Jiaotong Univ, Sch Traff & Transportat, Lanzhou, Peoples R China
[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[3] Lanzhou Jiaotong Univ, Sch Foreign Languages, Lanzhou, Peoples R China
来源：
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH | 2022年 / 14卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Railway; transit network design; fuzzy plant growth simulation algorithm;
D O I：
10.1080/19427867.2020.1852495
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
We propose a mathematical model to solve the railway transit network design problem, considering the total time spent in the travel of all the passengers on the network as the optimization goal. The number of passengers to be transported, train accommodating capacity, station capacity, railway section capacity, and available train number is taken as the constraints in the model. Then, we design a heuristic algorithm - fuzzy plant growth simulation algorithm to solve the model. A computing case, based on the data of the railway network of part of East China is presented to prove the efficiency and effectiveness of the proposed model and algorithm. The approach presented in this paper can help to design the service plan in the view of the railway network for the railway operators.
引用
收藏
页码：186 / 194
页数：9
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