A mixed-integer programming-based Q-learning approach for electric bus scheduling with multiple termini and service routes-Reference-Cited by-同舟云学术

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A mixed-integer programming-based Q-learning approach for electric bus scheduling with multiple termini and service routes

Published:2024-05 Issue: Volume:162 Page:104570
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Yan Yimo^ORCID,Wen Haomin^ORCID,Deng Yang,Chow Andy H.F.^ORCID,Wu Qihao^ORCID,Kuo Yong-Hong^ORCID

Publisher

Elsevier BV

Reference91 articles.

1. Evaluating and optimizing opportunity fast-charging schedules in transit battery electric bus networks;Abdelwahed;Transp. Sci.,2020

2. Reinforcement learning for true adaptive traffic signal control;Abdulhai;J. Transp. Eng.,2003

3. Battery-swapping facility planning for electric buses with local charging systems;An;Int. J. Sustain. Transp.,2020

4. Electric bus fleet scheduling under travel time and energy consumption uncertainty;Avishan;Transp. Res. C,2023

5. Learn to move through a combination of policy gradient algorithms: DDPG, D4PG, and TD3;Bach,2020

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