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A Hybrid Control Strategy for a Dynamic Scheduling Problem in Transit Networks Cover

A Hybrid Control Strategy for a Dynamic Scheduling Problem in Transit Networks

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 4 (December 2022)
By: Zhongshan Liu,  Bin Yu,  Li Zhang and  Wensi Wang  
Open Access
|Dec 2022

Authors

Zhongshan Liu

School of Transportation Science and Engineering, Beihang University, Beijing, China

Bin Yu

School of Transportation Science and Engineering, Beihang University, Beijing, China

Li Zhang

School of Transportation Science and Engineering, Beihang University, Beijing, China

Wensi Wang

wensiwws@buaa.edu.cn

School of Transportation Science and Engineering, Beihang University, Beijing, China
DOI: https://doi.org/10.34768/amcs-2022-0039 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 553 - 567
Submitted on: Dec 21, 2021
|
Accepted on: Jul 27, 2022
|
Published on: Dec 30, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
service reliability,
transit network,
proactive control method,
deep reinforcement learning,
hybrid control strategy
Related subjects:
Mathematics,
Applied mathematics

© 2022 Zhongshan Liu, Bin Yu, Li Zhang, Wensi Wang, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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