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RNN-based indoor crowd evacuation automatic guidance simulation method and system

A technology of automatic guidance and simulation method, applied in neural learning method, design optimization/simulation, biological neural network model, etc., can solve problems such as blindness of pedestrian movement and insufficient utilization of evacuation resources, so as to avoid movement misjudgment and improve The effect of evacuation speed

Active Publication Date: 2020-09-01
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if people are affected by vision and emotions during the evacuation process, people often cannot obtain complete evacuation information, so they cannot rationally plan their movement paths, resulting in the blindness of pedestrian movement, which is the fundamental reason why evacuation resources cannot be fully utilized. one

Method used

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  • RNN-based indoor crowd evacuation automatic guidance simulation method and system
  • RNN-based indoor crowd evacuation automatic guidance simulation method and system
  • RNN-based indoor crowd evacuation automatic guidance simulation method and system

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Experimental program
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Embodiment 1

[0051] A preferred implementation case of the present disclosure is listed below. The indoor crowd evacuation automatic guidance system based on the RNN neural network can synthesize real-time evacuation environment information, provide pedestrians with a more optimized evacuation strategy, and reduce crowd evacuation time.

[0052] figure 1 It is a flow diagram of the RNN-based automatic guidance system for indoor crowd evacuation to guide pedestrians to evacuate according to the present disclosure, and a method for an automatic guidance system for indoor crowd evacuation based on RNN, including:

[0053] Divide the evacuation scene into several regions that do not contain obstacles and do not overlap each other: U i And U i ∩U j =φ(i≠j), all U i constitutes the feasible region of the evacuation scenario Pedestrians also only move within the feasible area A, the number of feasible areas is defined as |U|, and the area division of the scene is as follows figure 2 As sho...

Embodiment 2

[0095] The purpose of this embodiment is to provide an RNN-based automatic guidance simulation system for indoor crowd evacuation.

[0096] An RNN-based automatic guidance simulation system for indoor crowd evacuation, including:

[0097] Information acquisition unit: used to acquire the location information of pedestrians in the evacuation scene and the crowd density information in each area in real time;

[0098] Strategy network learning unit: take the density information of each area as input, and the pedestrian evacuation guidance strategy as output, and the learning process of the network takes reducing the evacuation time as the optimization goal;

[0099] Guide evacuation unit: use the area density information obtained by the information unit, use the strategy network to calculate the guidance probability of each navigation point, and further use the roulette strategy to select the navigation point as the next movement target for pedestrians arriving at the current nav...

Embodiment 3

[0102] The purpose of this embodiment is to provide a computer-readable storage medium.

[0103] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented, including:

[0104] Divide the evacuation scene into regions, and obtain the exit location information, obstacle information, navigation point information and pedestrian density in each region in the scene;

[0105] Construct the RNN neural network model and train it to establish the mapping relationship between the real-time crowd evacuation state and the guidance strategy;

[0106] Carry out crowd evacuation simulation based on the trained network model, obtain the crowd distribution density in real time during the evacuation process, and obtain the guidance probability between navigation points through the trained model;

[0107] A pseudo-random strategy based on roulette is used to generate a temporary moving target fo...

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Abstract

The invention provides an RNN-based indoor crowd evacuation automatic guidance simulation method and system, and the method comprises the steps: optimizing RNN network parameters through employing a difference algorithm and taking the reduction of evacuation time as an optimization criterion, and building the relation among a real-time evacuation state, a guidance strategy and the crowd evacuationtime; in evacuation process, obtaining crowd distribution density information of all regions in the evacuation process to serve as input of an RNN network and a network intermediate state at the first lambda moment; obtaining the guidance probability between navigation points at the current moment, creating a temporary moving target at the next moment for pedestrians at the current moment by utilizing a roulette-based pseudo-random selection strategy, and guiding the pedestrians to evacuate, thereby achieving the purpose of reducing the crowd evacuation time. According to the invention, starting from one of key factors influencing evacuation efficiency, i.e., congestion, the RNN is used for establishing the mapping relation between the evacuation crowd distribution probability and the evacuation strategy, effective evacuation help can be effectively provided for pedestrians who are unfamiliar with scenes and cannot obtain complete evacuation information, and scientific guidance of anemergency indoor crowd safe evacuation plan is achieved.

Description

technical field [0001] The present disclosure relates to the technical field of calculation and simulation of crowd evacuation, in particular to an RNN-based automatic guidance simulation method and system for indoor crowd evacuation. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] In recent years, with the increasing number of social and public activities that gather a large number of people, the resulting public safety issues have attracted the attention of many experts and scholars. Dense crowds in a relatively closed space are often in a highly unstable state, and small changes can easily lead to large-scale riots. When various emergencies occur and personnel need to evacuate urgently, it is easy to cause serious stampede accidents, resulting in loss of life and property. Especially when people are not familiar with the structure of...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08G06F111/10
CPCG06F30/27G06N3/08G06F2111/10G06N3/045Y02A10/40
Inventor 韩延彬刘弘李梁
Owner SHANDONG NORMAL UNIV
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