Proximal Policy Optimization for Crowd Evacuation in Complex Environments—A Metaverse Approach at Krung Thep Aphiwat Central Terminal, Thailand

Proximal Policy Optimization for Crowd Evacuation in Complex Environments—A Metaverse Approach at Krung Thep Aphiwat Central Terminal, Thailand

Efficient crowd evacuation from railway platforms is critical for passenger safety during emergencies. This study introduces a novel dynamic emergency evacuation route generator using the Proximal Policy Optimization (PPO) algorithm within a custom-built 3D simulation environment developed in Unity....

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Bibliographic Details
Main Authors: Sushank Chaudhary, Nitinun Sinpan, Pruk Sasithong, Sunita Khichar, Panithan la-Aiddee, Natt Leelawat, Amir Parnianifard, Suvit Poomrittigul, Lunchakorn Wuttisittikulkij
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Metaverse
artificial intelligence
crowd evacuation
proximal policy optimization
Online Access:https://ieeexplore.ieee.org/document/10792441/
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