Assessment model for the Stability Situation of Crowd Evacuation based on Thermodynamic Map. Issue 1 (January 2021)

• Record Type: Journal Article
• Authors: Zhao, Rongyong; Liu, Qiong; Li, Cuiling; Dong, Daheng; Hu, Qianshan; Ma, Yunlong
• Is Part Of: Journal of physics. Volume 1732:Issue 1(2021)
• Publication Date: 2021-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1732/1/012012
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: To solve the shortcomings of the conventional assessment methods for crowd evacuation stability, such as over-reliance on the experience of the judges, obvious subjectivity and time-space limitations, this paper proposes an assessment model for judgment on the stability situation of crowd evacuation. Furthermore, the scenarios of large-scale crowd evacuation is diverse, and the compositions of crowd, the causes of crowd trampling are different. So it is particularly important to analyze specific problems for different scenarios. However, different data acquisition and poor real-time performance are main practical problems of judgment on the stability situation of large-scale crowd evacuation. With regard to shortcomings and problems above, the assessment model proposed in this paper uses big data technology to figure out a real-time crowd distribution thermodynamic map and obtain the crowd distribution density data. According to the criterion of crowd stability proposed by the Green Guide in Britain, the assessment model is further constructed to judge the stability situation of large-scale crowd evacuation in real-time.