Weekly line planning to improve the match between rail supply and passenger demand-Reference-Cited by-同舟云学术

Weekly line planning to improve the match between rail supply and passenger demand

Published:2022-11 Issue: Volume: Page:
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Nie Bowen¹²,Nie Lei¹²,Fu Huiling¹²,Wu Xin³

Affiliation:

1. Frontiers Science Center for Smart High‐Speed Railway System Beijing Jiaotong University Beijing China

2. School of Traffic and Transportation Beijing Jiaotong University Beijing China

3. Maryland Transportation Institute, Department of Civil and Environmental Engineering University of Maryland College Park Maryland USA

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12941

Reference62 articles.

1. Discrete Spider Monkey Optimization for Travelling Salesman Problem

2. Single-line rail rapid transit timetabling under dynamic passenger demand

3. A Column-Generation Approach to Line Planning in Public Transport

4. Optimal lines for railway systems

5. A fast algorithm for near cost optimal line plans

Cited by 4 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. Integrating stop planning, timetabling and rolling stock planning on high-speed railway lines: A multi-objective optimization approach;Expert Systems with Applications;2024-03

2. A hierarchical control approach for virtual coupling in metro trains;Computer-Aided Civil and Infrastructure Engineering;2023-12-11

3. Multi-objective optimization for through train service integrating train operation plan and type selection;Transportation Letters;2023-10-04

4. Collaborative passenger flow control for an urban rail transit network;Computer-Aided Civil and Infrastructure Engineering;2023-06-04