Railway transit network design based on fuzzy plant growth simulation algorithm.-Reference-Cited by-同舟云学术

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

Published:2020-11-30 Issue: Volume: Page:1-9
ISSN:1942-7867
Container-title:Transportation Letters
language:en
Short-container-title:Transportation Letters

Author:

Meng Xuelei¹²,Wang Yahui³,Qin Yong²,Xiang Wanli¹

Affiliation:

1. School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China

2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

3. School of Foreign Languages, Lanzhou Jiaotong University, Lanzhou, China

Funder

National Natural Science Foundation of China

the Educational Reform Project

Foundation of A Hundred Young Talents Training Program of Lanzhou Jiaotong University

Young Teachers Program of Lanzhou Jiaotong University

Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province

China National Key Research & Development Project

Publisher

Informa UK Limited

Subject

Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19427867.2020.1852495

Reference23 articles.

1. Two-phase stochastic program for transit network design under demand uncertainty

2. A differential evolution for simultaneous transit network design and frequency setting problem

3. Rapid transit network design: considering recovery robustness and risk aversion measures

4. On strategic multistage operational two-stage stochastic 0–1 optimization for the Rapid Transit Network Design problem

5. Rapid transit network design considering risk aversion

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimising railcar transfer chain via fuzzy programming and a simulated annealing algorithm;International Journal of Systems Science: Operations & Logistics;2023-10-16

2. Resilience Enhancement of an Urban Rail Transit Network by Setting Turn-Back Tracks: A Scenario Model Approach;Transportation Research Record: Journal of the Transportation Research Board;2023-09-30

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