scholarly journals Identification of Parameters fora Social Force Model in Evacuation Simulation Using Evolutionary Computation

Author(s):  
Tetsuya Miyoshi ◽  
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.


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.


2017 ◽  
Vol 14 (1) ◽  
pp. 815-820 ◽  
Author(s):  
Baoxi Liu ◽  
Yanbin Han ◽  
Hao Zhang ◽  
Xin Qin

A majority of existing evacuation models overlooked the pedestrian’s social relationship and their learning ability. In this paper, we made two improvements base on the social force model. First, a new force called group relationship force was added to the social force model. Pedestrians who have close relationship could gather into a group and walk together. Second, the machine learning was introduced to the improved social force model to represent pedestrian’s learning and cognitive ability. In the improved model, pedestrians could store the evacuation route to the knowledge base, and next time they can choose a best path to evacuate according to their knowledge. Simulation results show that the new method could better to avoid obstacles and save evacuation time. Furthermore, this improved model is applied to the simulation system of Ji’nan Springs Plaza for predictive evacuation experiments.


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>


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Guofeng Ma ◽  
Yuqi Wang ◽  
Shan Jiang

Exits are essential to the efficiency of building evacuation due to its irreplaceable function, and the layout of multiple exits has always been the key concern for architectural design. To accurately evaluate the evacuation efficiency of different multiexit layouts and optimize the design rules, a dynamic exit decision model integrating an exit selection strategy and the social force model is developed to simulate the practical evacuation. And our proposed model outperforms the original social force model in terms of evacuation efficiency. Accordingly, different layouts are analyzed for evacuation in a single room with two exits. The analysis results reveal that evacuation time will be improved with the changes of exit locations and two parallel exits are validated as the most efficient layout among the three common categories. Affected by walking time and queuing time of evacuees, it is not conducive to evacuation whether the separation of two exits is too large or too small. Furthermore, an even symmetry is found more efficient than an asymmetric distribution of exits under some conditions. This work provides a basis for architectural designs of multiple exits and a foundation for further study of evacuation simulation.


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

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