Optimal Time Transfer in Bus Transit Route Network Design Using a Genetic Algorithm-Reference-Cited by-同舟云学术

Optimal Time Transfer in Bus Transit Route Network Design Using a Genetic Algorithm

Published:2003-09 Issue:5 Volume:129 Page:510-521
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Ngamchai Somnuk¹,Lovell David J.²

Affiliation:

1. PhD Student, Dept. of Civil and Environmental Engineering, 1173 Martin Hall, Univ. of Maryland, College Park, MD 20742.

2. Associate Professor, Dept. of Civil and Environmental Engineering, 1173 Martin Hall, Univ. of Maryland, College Park, MD 20742.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282003%29129%3A5%28510%29

Reference6 articles.

1. An AI-based approach for transit route system planning and design

2. Algorithm 97: Shortest path

3. Lee Y. J. and Vuchic V. R. (2000). “Transit network design with variable demand.” Presented at 79th Annual Meeting of the Transportation Research Board Transportation Research Board Washington D.C.

4. Michalewicz Z. (1999). Genetic algorithms+data structure=evolution programs 3rd Ed. Springer-Verlag New York.

5. Urban Bus Transit Route Network Design Using Genetic Algorithm

Cited by 104 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. A sequential transit network design algorithm with optimal learning under correlated beliefs;Transportation Research Part E: Logistics and Transportation Review;2024-11

2. Considering the Optimization Design of Urban Bus Network Scheduling;Applied Sciences;2024-07-20

3. Notes on Bus User Assignment Problem Using Section Network Representation Method;Applied Sciences;2024-04-17

4. A transit network design and frequency setting model with graph neural network and deep reinforcement learning;Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023);2023-10-11

5. A Multilayer Network Approach for the Bimodal Bus–Pedestrian Line Planning Problem;Mathematics;2023-10-06