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

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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Bibliographic Details
Main Authors: Dong Zhang, Wenhang Li, Jianhua Gong, Guoyong Zhang, Jiantao Liu, Lin Huang, Heng Liu, Haonan Ma
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:International Journal of Digital Earth
Subjects:
virtual geographic environments
crowd evacuation
crowd evacuation simulation
deep reinforcement learning
3d physical environments
Online Access:http://dx.doi.org/10.1080/17538947.2023.2182376

Internet

http://dx.doi.org/10.1080/17538947.2023.2182376

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