Intersection decision making for autonomous vehicles based on improved PPO algorithm

Intersection decision making for autonomous vehicles based on improved PPO algorithm

Abstract The deployment of autonomous vehicles (AVs) in complex urban environments faces numerous challenges, especially at intersections where they coexist with human‐driven vehicles (HVs), resulting in increased safety risks. In response, this study proposes an improved control strategy based on t...

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Bibliographic Details
Main Authors: Dong Guo, Shoulin He, Shouwen Ji
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Intelligent Transport Systems
Subjects:
artificial intelligence
automated driving and intelligent vehicles
autonomous driving
Markov processes
Online Access:https://doi.org/10.1049/itr2.12593
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