Deep reinforcement learning and 3D physical environments applied to crowd evacuation in congested scenarios

To avoid crowd evacuation simulations depending on 2D environments and real data, we propose a framework for crowd evacuation modeling and simulation by applying deep reinforcement learning (DRL) and 3D physical environments (3DPEs). In 3DPEs, we construct simulation scenarios from the aspects of ge...

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Bibliografische gegevens
Hoofdauteurs:	Dong Zhang, Wenhang Li, Jianhua Gong, Guoyong Zhang, Jiantao Liu, Lin Huang, Heng Liu, Haonan Ma
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Taylor & Francis Group 2023-12-01
Reeks:	International Journal of Digital Earth
Onderwerpen:	virtual geographic environments crowd evacuation crowd evacuation simulation deep reinforcement learning 3d physical environments
Online toegang:	http://dx.doi.org/10.1080/17538947.2023.2182376
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Deep reinforcement learning and 3D physical environments applied to crowd evacuation in congested scenarios

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