Modified social force model based on information transmission toward crowd evacuation simulation

2017 ◽  
Vol 469 ◽  
pp. 499-509 ◽  
Author(s):  
Yanbin Han ◽  
Hong Liu
2020 ◽  
Vol 309 ◽  
pp. 05001
Author(s):  
Benbu Liang ◽  
Kefan Xie ◽  
Xueqin Dong

With growing concerns about stadiums where attract large mass gathering, modeling and simulating crowd evacuation is pertinent to ensuring efficient and safe conditions. Based on the modified social force model and multi-agent simulation, several simulation scenarios are conducted to study the walking-along-side effects. The results show that walking along the sides will increase evacuation time, but it can mitigate the pressure of clogging effects and stream arching queue. Meanwhile, walking-along-side effects can relieve the density pressure of the exit and the "fast-is-slow" phenomenon. At last, several suggestions are put forward to promote evacuating capacity of the stadium.


Author(s):  
Jamaludin, M.N ◽  
Mohamad, S. ◽  
Sunar, M.S. ◽  
Isa, K. ◽  
Hanifa, R.M. ◽  
...  

<span lang="EN-GB">Crowd simulation is the process of simulating characterized agents or entities using computer application to analyse it in virtual scene or virtual environment. This paper investigates the best route path for agents to act in avoiding the fire hazards with different designated type of stairs in shop lots that were converted to hostel dormitory for students. 3D social force agent’s model and 3D fire hazards were designed in Microsoft Visual Studio C++ software and OpenGL library. A research was conducted using social force model behaviour and were taken by 10 and 15 agents to analyse the time taken to complete the evacuation process. The acceleration produced where it is related with route path taken by agents, interaction forces of agents and interaction forces of wall are the main research system to analyse agents’ behaviour during simulation. Different simulations have been used to determine the best and fastest route taken by agents. In summary, the lower the number of agents, the lower the time allocated by agents to complete the evacuation. Finally, less number of agents using the designated straight stairs gave a lower time to complete evacuation process and reached high level of security to avoid being exposed to fire hazards. </span>


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 195989-196001
Author(s):  
Zhiyun Zheng ◽  
Guanglei Zhu ◽  
Zhenhao Sun ◽  
Zhenfei Wang ◽  
Lun Li

2015 ◽  
Vol 168 ◽  
pp. 529-537 ◽  
Author(s):  
Mingliang Xu ◽  
Yunpeng Wu ◽  
Pei Lv ◽  
Hao Jiang ◽  
Mingxuan Luo ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Juan Wei ◽  
Wenjie Fan ◽  
Zhongyu Li ◽  
Yangyong Guo ◽  
Yuanyuan Fang ◽  
...  

Due to the interaction and external interference, the crowds will constantly and dynamically adjust their evacuation path in the evacuation process to achieve the purpose of rapid evacuation. The information from previous process can be used to modify the current evacuation control information to achieve a better evacuation effect, and iterative learning control can achieve an effective prediction of the expected path within a limited running time. In order to depict this process, the social force model is improved based on an iterative extended state observer so that the crowds can move along the optimal evacuation path. First, the objective function of the optimal evacuation path is established in the improved model, and an iterative extended state observer is designed to get the estimated value. Second, the above model is verified through simulation experiments. The results show that, as the number of iterations increases, the evacuation time shows a trend of first decreasing and then increasing.


2013 ◽  
Vol 409-410 ◽  
pp. 1577-1582 ◽  
Author(s):  
Hua Wu ◽  
Juan Huang ◽  
Zhong Lai Guo ◽  
Yong Gang Hu

In this paper, a revised social force model in the stairs are discussed. Considering the influence of the gravity to the pedestrians in the stairs, we improve the model by adding the gravity factor, which makes the simulation more reality. In additional, we simplify the direction model of the psychological force between pedestrians considering the narrow space of the stair, and this will refine the computational efficiency dramatically. Furthermore, we also discussed the construction of the building models for the practical simulations. The experimental results in this paper shows the valid of the model.


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