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Cooperative bus holding and stop-skipping: A deep reinforcement learning framework

  • Published:2023-10 Issue: Volume:155 Page:104308
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Rodriguez JosephORCID,Koutsopoulos Haris N.,Wang ShenhaoORCID,Zhao JinhuaORCID

Funder

Office of Energy Efficiency and Renewable Energy

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference55 articles.

1. Optimal control of headway variation on transit routes;Abkowitz;J. Adv. Transp.,1986

2. Implementing headway-based reliability control on transit routes;Abkowitz;J. Transp. Eng.,1990

3. Transit route characteristics and headway-based reliability control;Abkowitz;Transp. Res. Rec.,1986

4. Reinforcement learning-based bus holding for high-frequency services;Alesiani,2018

5. The many uses of GTFS Data–Opening the door to transit and multimodal applications;Barbeau;ITS America,2013

Cited by 3 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. Resilience-Based Approach to the Measurement of Headway Inconsistency;Transportation Research Record: Journal of the Transportation Research Board;2024-07-30

2. A deep reinforcement learning with dynamic spatio-temporal graph model for solving urban logistics delivery planning problems;International Journal of Digital Earth;2024-07-09

3. A microscopic public transportation simulation framework based on machine learning;Journal of Public Transportation;2024
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