Characteristic time based social force model improvement and exit assignment strategy for pedestrian evacuation

2018 ◽  
Vol 505 ◽  
pp. 530-548 ◽  
Author(s):  
Xiao Song ◽  
Jinghan Sun ◽  
Hongnan Xie ◽  
Qiyuan Li ◽  
Zilie Wang ◽  
...  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ningbo Cao ◽  
Liying Zhao ◽  
Mingtao Chen ◽  
Ruiqi Luo

Pedestrian evacuation dynamics in a classroom is always a complex process influenced by many fuzzy factors. It is very difficult and inappropriate to quantify the impact of these fuzzy factors by using the mathematical formula. Existing microscopic simulation models have made many efforts to use accurate mathematical method to model the fuzzy interaction behaviors between pedestrians under the view-limited condition. This study tries to fill this gap by establishing a microscopic simulation model which can represent the fuzzy behaviors of pedestrians under view-limited condition. The developed fuzzy social force model (FSFM) combines fuzzy logic into conventional social force model (SFM). Different from existing models and applications, FSFM adopts fuzzy sets and membership functions to describe the pedestrian evacuation process. Seven fuzzy sets are defined for this process, such as stop/go, moving direction, desired force, force from obstacles, force from pedestrian, force from indicators, and acceleration. Membership function of each input factor is calibrated based on the observed data. Model performance is verified by comparing speed distribution, velocity-density relationship, and results of simulation and observation evacuation time. Besides, the proposed model is applied to assess the number and space distribution of exit indicators and stickers. By comparing simulation results with existing models, the paper concludes that FSFM is able to well reproduce pedestrian movement dynamics in real world under view-limited condition.


2020 ◽  
Vol 31 (07) ◽  
pp. 2050102
Author(s):  
Juan Wei ◽  
Wenjie Fan ◽  
Yangyong Guo ◽  
Jun Hu ◽  
Yuanyuan Fang

In order to characterize the disturbance fluctuation of pedestrian flow caused by the disturbance during evacuation and the state change of pedestrian flow, this paper improves the social force model by introducing disturbance fluctuation force. First, a momentum equation is established to describe the change of pedestrian flow under the influence of disturbance fluctuation, and the mathematical expression of disturbance fluctuation force is given. Second, the evacuation processes of pedestrian flow with and without “queue jumpers” are simulated with the simulation experimental platform, and the key factors influencing the performance of the model are deeply studied through numerical analysis. The results showed that: when the expected velocity is the same, the bigger the angle between the cross-section position vector and the initial expected velocity is, the more serious the congestion occurs at the exit. In addition, when the crowd density is small, the larger the angle, the higher the evacuation efficiency and vice versa.


2020 ◽  
Vol 80 ◽  
pp. 815-826 ◽  
Author(s):  
Yanqun Jiang ◽  
Bokui Chen ◽  
Xi Li ◽  
Zhongjun Ding

2020 ◽  
Vol 121 ◽  
pp. 42-53 ◽  
Author(s):  
I.M. Sticco ◽  
G.A. Frank ◽  
F.E. Cornes ◽  
C.O. Dorso

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