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Large-scale population dynamic emergency evacuation simulating method following optimal-forgetting rule

A technology of emergency evacuation and simulation method, applied in the field of geographic information, can solve problems such as high resource consumption and high difficulty, and achieve the effect of shortening calculation time

Active Publication Date: 2017-09-05
NANJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in complex evacuation problems, the network topology, weights, and constraints are all dynamically changing, and finding the optimal path that satisfies multiple constraints is always a difficult and resource-intensive task.

Method used

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  • Large-scale population dynamic emergency evacuation simulating method following optimal-forgetting rule
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  • Large-scale population dynamic emergency evacuation simulating method following optimal-forgetting rule

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Embodiment 1

[0039] In this embodiment, the following processes are mainly included:

[0040] Process 1: Select the required experimental scene and set the corresponding parameters.

[0041] Step 1: Select the target area. The data in this embodiment is the actual scene of a certain area, including a road traffic network composed of 1483 different feature points and 2109 edges, such as figure 2 shown. Set the basic parameters of the scene area: the path forgetting time is t; assume that all the evacuated personnel at an initial node move as a whole, and the time of each movement is a step, that is, from one node to another;

[0042] Step 2: Abstract the evacuation network G(V,E) according to the evacuation scene area, where V is the number of nodes in the evacuation network, and E is the number of connected edges between nodes; check the category attributes of the object points in the area, and select available residential points as The initial personnel starting point set S and open pl...

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Abstract

The invention discloses a large-scale population dynamic emergency evacuation simulating method following an optimal-forgetting rule. The method includes the following steps of establishing an evacuation personnel source point set, a relay point set and a safe area point set based on a scene, establishing a communication relation among personnel, relay points and a safe area according to the actual situation in the evacuation scene, dynamically updating an evacuation route weight according to the situation in the scene, searching for a multi-constraint local optimal route, recording the reach location of evacuation personnel in real time, establishing an evacuation source point set at the moment according to the scene intermediate state, forgetting the route at the previous moment and updating available advancing nodes for local research again, and repeating the whole route searching process till all the personnel reach the safe area. The problem that under a complicated scene network, an optimal evacuation route is difficult to calculate is effectively solved, the optimal route searching of dynamic weight changes on a large scale is effectively supported, and the method has obvious advantages on the aspect of large-scale population evacuation route planning.

Description

technical field [0001] The invention relates to a geographic information technology, in particular to a simulation method for dynamic emergency evacuation of large-scale crowds following the optimal-forgetting rule. Background technique [0002] With the rapid development of China's economy and the rapid advancement of urbanization, the urban population has increased rapidly, and public safety has become a key factor related to social harmony and stability. A series of public safety incidents that have occurred in recent years, such as the stampede on the Bund in Shanghai and the dust explosion in Taiwan, have on the one hand emphasized the importance of safety precautions before disasters occur, and on the other hand have highlighted the scientific and reasonable safety measures in emergencies. The evacuation of large-scale crowds is of great value to ensure the safety of people's lives and property. [0003] The existing large-scale crowd evacuation simulation methods mai...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/047G06Q50/265
Inventor 袁林旺俞肇元袁帅罗文朱帅闾国年
Owner NANJING NORMAL UNIVERSITY
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