A Leading Cruise Controller for Autonomous Vehicles in Mixed Autonomy Based on Preference-Based Reinforcement Learning-Reference-Cited by-同舟云学术

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A Leading Cruise Controller for Autonomous Vehicles in Mixed Autonomy Based on Preference-Based Reinforcement Learning

Published:2024-06-02 Issue: Volume: Page:752-757
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Wen Xiao Luke¹,Jian Sisi¹,He Dengbo²

Affiliation:

1. The Hong Kong University of Science and Technology,Department of Civil and Environmental Engineering,Kowloon,Hong Kong, SAR

2. Systems Hub The Hong Kong University of Science and Technology (Guangzhou),Intelligent Transportation Thrust,Guangdong,China,511400

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588421.pdf?arnumber=10588421

Reference13 articles.

1. Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset

2. Modeling Human Driver Behaviors When Following Autonomous Vehicles: An Inverse Reinforcement Learning Approach

3. Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning

4. Analysis of discretionary lane-changing behaviours of autonomous vehicles based on real-world data

5. Multi-objective multi-agent deep reinforcement learning to reduce bus bunching for multiline services with a shared corridor

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