A bibliometric analysis and review on reinforcement learning for transportation applications-Reference-Cited by-同舟云学术

A bibliometric analysis and review on reinforcement learning for transportation applications

Published:2023-03-02 Issue:1 Volume:11 Page:
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Li Can¹,Bai Lei²,Yao Lina¹,Waller S. Travis³,Liu Wei⁴

Affiliation:

1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

2. School of Electrical and Information Engineering, University of Sydney, Sydney, Australia

3. Faculty of Transport and Traffic Sciences, Lighthouse Professorship “Transport Modelling and Simulation”, Technische Universität Dresden, Dresden, Germany

4. Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China

Funder

Hong Kong Polytechnic University

NSFC/RGC Joint Research Scheme

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2023.2179461

Reference202 articles.

1. Abdoos M. N. Mozayani and A. L. Bazzan. 2011. “Traffic Light Control in Non-Stationary Environments Based on Multi Agent Q-Learning.” In 14th International IEEE Conference on Intelligent Transportation Systems. Washington DC USA.

2. Reinforcement learning: Introduction to theory and potential for transport applications

3. Reinforcement Learning for True Adaptive Traffic Signal Control

4. IEEE Transactions on Intelligent Transportation Systems

5. Alesiani F. and K. Gkiotsalitis. 2018. “Reinforcement Learning-Based Bus Holding for High-Frequency Services.” In 2018 21st International Conference on Intelligent Transportation Systems 3162–3168. IEEE.

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