Using the Social Force Model to Represent the Behavior of Pedestrians at Chaotic Intersections of Developing Countries: The Case of Peru

Author(s):  
Felix Cabrera Vega ◽  
Juan Carlos Dextre
2007 ◽  
Vol 10 (supp02) ◽  
pp. 271-288 ◽  
Author(s):  
ANDERS JOHANSSON ◽  
DIRK HELBING ◽  
PRADYUMN K. SHUKLA

Based on suitable video recordings of interactive pedestrian motion and improved tracking software, we apply an evolutionary optimization algorithm to determine optimal parameter specifications for the social force model. The calibrated model is then used for large-scale pedestrian simulations of evacuation scenarios, pilgrimage, and urban environments.


Fire Research ◽  
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Manuela Marques Lalane Nappi ◽  
Ivana Righetto Moser ◽  
João Carlos Souza

The growing number of fires and other types of catastrophes occurring at large events highlights the need to rethink safety concepts and also to include new ways to optimize buildings and venues where events are held. Although there have been some attempts to model and simulate the movement of pedestrian crowds, little knowledge has been gathered to better understand the impact of the built environment and its geometric characteristics on the crowd dynamics. This paper presents computer simulations about pedestrians’ crowd dynamics that were conducted based on the Social Force Model. The influence of different configurations of pedestrian flows merging during emergency evacuations was investigated. In this study, 12 designs with different merging angles were examined, simulating the evacuation of 400 people in each scenario. The Planung Transport Verkehr (PTV, German for Planning Transport Traffic) Viswalk module of the PTV Vissim software (PTV Group, Karlsruhe, Germany) program was adopted, which allows the employment of the Social Force approach. The results demonstrate that both symmetric and asymmetric scenarios are sensitive to the angles of convergence between pedestrian flows.


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.


2006 ◽  
Vol 17 (03) ◽  
pp. 419-434 ◽  
Author(s):  
DANIEL R. PARISI ◽  
CLAUDIO O. DORSO

In the present work we studied the room evacuation problem using the social force model introduced by Helbing and coworkers. The "faster is slower" effect induced by panic was analyzed. It could be explained in terms of increasing mean clogging delays which shows a strong correlation with certain structures that we call "blocking clusters". Also a steady state version of the problem was implemented. It shows that, from a macroscopic point of view, the optimal evacuation efficiency correspond to the state at which the difference between the system desire force minus the system granular force is maximum.


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