A Safe Reinforcement Learning Based Predictive Position Security Control in a Mixed Ramp Confluence Scene-Reference-Cited by-同舟云学术

A Safe Reinforcement Learning Based Predictive Position Security Control in a Mixed Ramp Confluence Scene

Published:2024-05-17 Issue: Volume:14 Page:136-144
ISSN:
Container-title:Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence
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Author:

Xu Wenliang¹^ORCID,Zhao Yanan¹^ORCID,Tan Huachun²^ORCID

Affiliation:

1. School of Mechanical Engineering, Beijing Institute of Technology, China

2. Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, China and ShenSi Lab, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, China

Funder

National Key Research and Development Program of China under Grants 2023YFB2504704-02

Shenzhen Longhua District Digital Intelligent Forming System Equipment Collaborative Innovation Platform (Serial number: J10M00792305290004)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3669721.3669735

Reference29 articles.

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3. Considering various ALINEA ramp metering strategies for crash risk mitigation on free-ways under congested regime;Abdel-Aty M.;Transportation Research Part C: Emerging Technologies,2007

4. An Intelligent V2I-Based Traffic Management System

5. Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving