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Crowd evacuation auxiliary decision-making system based on ant colony algorithm and improved social force model

A technology of social force model and ant colony algorithm, applied in the field of computer simulation, can solve the problems of inability to guarantee the safety of experiment participants and high cost, and achieve the effect of improving the design of space structure, increasing the scope of application, and ensuring the safety of pedestrians

Pending Publication Date: 2021-05-28
QINGDAO TECHNOLOGICAL UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

Usually, exploring the evolution law of evacuation movement through evacuation drills is not only costly, but also unable to guarantee the safety of experimental participants

Method used

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  • Crowd evacuation auxiliary decision-making system based on ant colony algorithm and improved social force model
  • Crowd evacuation auxiliary decision-making system based on ant colony algorithm and improved social force model
  • Crowd evacuation auxiliary decision-making system based on ant colony algorithm and improved social force model

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Embodiment Construction

[0056] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0057] like figure 1 As shown, the present invention discloses a crowd evacuation assistant decision-making system based on ant colony algorithm and improved social force model, the method comprising:

[0058] Step S1, according to the information such as the property and layout of the facilities in the building, initialize the position and size of obstacles, and establish an evacuation simulation scene. The camera at the entrance of the building is used to obtain images of pedestrians entering the building, and the acquired images are imported into a neural network-based face recognition system. The face recognition system can compare the current face image with the images stored in the historical database. If the matching degree exceeds 70%, it is determined that the person has been to this building, otherwise it is dete...

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Abstract

The invention provides a crowd evacuation auxiliary decision-making system based on an ant colony algorithm and an improved social force model, and the system comprises the following steps: S1, obtaining evacuation scene parameters through a shooting device, creating an evacuation scene model in a computer, and classifying different types of pedestrians based on a neural network face recognition system; s2, planning a pedestrian evacuation route with complete evacuation information by using an ant colony algorithm; S3, planning an evacuation route of pedestrians with local evacuation information by considering personal preferences such as crowd behaviors and obstacles and walls; s4, driving the pedestrian to move based on the improved social force model, and simulating the evacuation movement of the crowd; and S5, predicting and marking pedestrian evacuation bottlenecks in emergencies, and reasonably setting guide marks at the marked positions to induce pedestrians to safely arrive at exits. In the evacuation process, facility resources are utilized in a balanced mode, evacuation bottlenecks are predicted, guide marks are set, the dynamic evacuation path is reasonably planned, and the evacuation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of computer simulation, and relates to a pedestrian evacuation simulation, in particular to a crowd evacuation auxiliary decision-making system based on an ant colony algorithm and an improved social force model. Background technique [0002] With the improvement of the country's urbanization level, large public buildings continue to increase. When the crowd density in the building is high, the crowd may be in a highly unstable state, and there are great hidden dangers in safety management. Once there are problems such as unreasonable layout of facilities in the building or imperfect emergency evacuation plans, the evacuation behavior of high-density unstable crowds in emergencies will have great blindness in movement, and it is easy to cause crowds and panic, which in turn induces Stampede. In addition, the management staff's weak awareness of emergency management is also one of the important reasons for ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/00
CPCG06Q10/04G06Q10/06311G06Q50/26G06N3/006
Inventor 杨晓霞康元磊潘福全曲大义张丽霞刘天宇
Owner QINGDAO TECHNOLOGICAL UNIVERSITY