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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Dong Zhang, Wenhang Li, Jianhua Gong, Guoyong Zhang, Jiantao Liu, Lin Huang, Heng Liu, Haonan Ma
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Taylor & Francis Group 2023-12-01
Serie:	International Journal of Digital Earth
Ämnen:	virtual geographic environments crowd evacuation crowd evacuation simulation deep reinforcement learning 3d physical environments
Länkar:	http://dx.doi.org/10.1080/17538947.2023.2182376
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!