Deep Reinforcement Learning for Real-Time Airport Emergency Evacuation Using Asynchronous Advantage Actor–Critic (A3C) Algorithm

Deep Reinforcement Learning for Real-Time Airport Emergency Evacuation Using Asynchronous Advantage Actor–Critic (A3C) Algorithm

Emergencies can occur unexpectedly and require immediate action, especially in aviation, where time pressure and uncertainty are high. This study focused on improving emergency evacuation in airport and aircraft scenarios using real-time decision-making support. A system based on the Asynchronous Ad...

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Bibliographic Details
Main Authors: Yujing Zhou, Yupeng Yang, Bill Deng Pan, Yongxin Liu, Sirish Namilae, Houbing Herbert Song, Dahai Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
emergency evacuation
aviation safety
reinforcement learning
A3C algorithm
DQN algorithm
airport simulation
Online Access:https://www.mdpi.com/2227-7390/13/14/2269
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