Complex crowd evacuation behavior simulation method based on self-adaption intelligent agent model

A simulation method and agent technology, applied in the field of simulation modeling, can solve problems such as poor algorithm scalability, limitations, and increased computing node load.

Inactive Publication Date: 2016-06-22
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

[0006] On the other hand, some existing CPU-based methods are greatly limited in large-scale complex crowd evacuation
The existing methods based on the agent model cannot deal with large-scale and high-complexity crowd evacuation problems. (1) The scalability of the existing

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  • Complex crowd evacuation behavior simulation method based on self-adaption intelligent agent model
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  • Complex crowd evacuation behavior simulation method based on self-adaption intelligent agent model

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Embodiment Construction

[0078] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0079] A complex crowd evacuation behavior simulation method based on an adaptive agent model provided by the present invention comprises the following steps:

[0080] Step 1: Environment Modeling. The present invention describes the environment model as a multi-layer map including static map information and related macroscopic field information. Static map information describes the physical properties of the environment (such as the areas that agents can pass through). The macroscopic field information includes a position potential energy field describing ...

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Abstract

The invention discloses a complex crowd evacuation behavior simulation method based on a self-adaption intelligent agent model. The self-adaption intelligent agent model is adopted for defining four different types of attributes for each intelligent agent and can make escaping routes for each intelligent agent in a self-adaption mode according to the environment change, and therefore the self-adaption intelligent agent model has a better environmental change resisting capability. An ordinary self-adaption intelligent agent model based on a CPU platform can not deal with the complex crowd evacuation problem; a GPGPU multi-thread method based on a CUDA is adopted for developing a parallel simulation algorithm, the parallel computing thought is infused into the algorithm, and the executing efficiency of the self-adaption intelligent agent model is greatly improved while the algorithm effect is kept. Experiments prove that the method has better efficiency and usability in the actual large-scale complex crowd evacuation problem.

Description

technical field [0001] The invention belongs to the technical field of simulation modeling and relates to a complex crowd evacuation simulation method, in particular to a complex crowd evacuation behavior simulation method based on an adaptive agent model. Background technique [0002] Emergency plans refer to emergency management, command, and rescue plans for emergencies such as natural disasters, major accidents, environmental hazards, and man-made sabotage. It can effectively improve the ability of enterprises and institutions to respond to environmental emergencies, and minimize the losses caused by environmental emergencies to personnel, property and the environment. The development of emergency plans has long been the focus of research by government agencies, social activists, physicists and computer scientists. Crowd emergency evacuation is an important branch of emergency plan, which plays an important role in ensuring personnel safety. [0003] Many existing rese...

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Application Information

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IPC IPC(8): G06F17/50G06Q50/26
CPCG06F30/367G06Q50/265
Inventor 陈丹窦明罡陈靓影王力哲
Owner WUHAN UNIV
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