A Multi-Objective Ant Colony System-Based Approach to Transit Route Network Adjustment-Reference-Cited by-同舟云学术

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A Multi-Objective Ant Colony System-Based Approach to Transit Route Network Adjustment

Published:2024-07 Issue:7 Volume:25 Page:7878-7892
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wu Binglin¹,Zuo Xingquan¹^ORCID,Zhou Mengchu²^ORCID,Wan Xing¹,Zhao Xinchao³^ORCID,Yang Senyan⁴^ORCID

Affiliation:

1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. School of Science, Beijing University of Posts and Telecommunications, Beijing, China

4. School of Modern Post (School of Automation), Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Municipal Social Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10582787/10400981.pdf?arnumber=10400981

Reference52 articles.

1. Transit network design and scheduling: A global review

2. A review of urban transportation network design problems

3. Simultaneous optimization of transit line configuration and passenger line assignment

4. Genetic Algorithms for Optimal Urban Transit Network Design

5. A tabu search approach to an urban transport problem in northern Spain

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