Human-like Highway Trajectory Modeling based on Inverse Reinforcement Learning-Reference-Cited by-同舟云学术

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Human-like Highway Trajectory Modeling based on Inverse Reinforcement Learning

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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Author:

Sun Ruoyu,Hu Shaochi,Zhao Huijing,Moze Mathieu,Aioun Francois,Guillemard Franck

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8907344/8916833/08916970.pdf?arnumber=8916970

Cited by 9 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. A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery;Transportation Research Part C: Emerging Technologies;2024-01

2. A Personalized Motion Planning Method with Driver Characteristics in Longitudinal and Lateral Directions;Electronics;2023-12-15

3. Multimodal Vehicular Trajectory Prediction With Inverse Reinforcement Learning and Risk Aversion at Urban Unsignalized Intersections;IEEE Transactions on Intelligent Transportation Systems;2023-11

4. A Human-Like Trajectory Planning Method on a Curve Based on the Driver Preview Mechanism;IEEE Transactions on Intelligent Transportation Systems;2023-11

5. Influences of Personal Driving Styles and Experienced System Characteristics on Driving Style Preferences in Automated Driving;Applied Sciences;2023-07-31

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