A Review on Reinforcement Learning-based Highway Autonomous Vehicle Control

Author:

Irshayyid AliORCID,Chen JunORCID,Xiong GuojiangORCID

Publisher

Elsevier BV

Reference126 articles.

1. J. Deichmann, Autonomous Driving’s Future: Convenient and Connected. McKinsey, 2023.

2. Environmental and E. S. I. (EESI), “Issue brief: Autonomous vehicles: State of the technology and potential role as a climate solution,” Jun 2021. [Online]. Available: https://www.eesi.org/papers/view/issue-brief-autonomous-vehicles-state-of-the-technology-and-potential-role-as-a-climate-solution

3. Y. Fan, N. Wexler, F. Douma, G. Ryan, C. Hong, Y. Li, and Z.-L. Zhang, “Advancing social equity with shared autonomous vehicles: Literature review, practitioner interviews, and stated preference surveys,” 2022.

4. A path planning algorithm for autonomous flying vehicles in cross-country environments with a novel TF-RRT* method;Qie;Green Energy and Intelligent Transportation,2022

5. Event-triggered model predictive control for autonomous vehicle path tracking: Validation using CARLA simulator;Zhou;IEEE Transactions on Intelligent Vehicles,2023

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