Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy-Reference-Cited by-同舟云学术

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Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Yavas Ugur¹,Kumbasar Tufan²,Ure Naztm Kemal³

Affiliation:

1. Eatron Technologies,Istanbul,Turkey

2. Istanbul Technical University,Control and Automation Engineering Department,Turkey

3. Istanbul Technical University,Artificial Intelligence and Data Science Research Center,Department of Aeronautical Engineering,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827279.pdf?arnumber=9827279

Reference27 articles.

1. Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

2. Increasing the Safety of Adaptive Cruise Control Using Physics-Guided Reinforcement Learning

3. Formulation and validation of a car-following model based on deep reinforcement learning;hart,2021

4. Human-like autonomous car-following model with deep reinforcement learning

5. Preferred time-headway of highway drivers

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1. A Comfortable and Robust DRL-based Car-following Policy Incorporating Lateral Information under Cut-in Scenarios;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Reinforcement Learning with Communication Latency with Application to Stop-and-Go Wave Dissipation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. On the string stability of neural network-based car-following models: A generic analysis framework;Transportation Research Part C: Emerging Technologies;2024-03

4. Enhancing Navigational Performance with Holistic Deep-Reinforcement-Learning;Lecture Notes in Networks and Systems;2024

5. Reinforcement Learning-Based Navigation Approach for a Downscaled Autonomous Vehicle in Simplified Urban Scenarios;2023 International Symposium on Electromobility (ISEM);2023-10-26

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