scholarly journals A Fuzzy-Theory-Based Social Force Model for Studying the Impact of Alighting Area Width on Alighting and Boarding Behaviors

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 28595-28606
Author(s):  
Xiaoxia Yang ◽  
Qianling Wang ◽  
Tianyu Liu
Keyword(s):  
Fuzzy Theory ◽  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
The Impact

scholarly journals Influence of different merging angles of pedestrian flows on evacuation time

Fire Research ◽  
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Manuela Marques Lalane Nappi ◽  
Ivana Righetto Moser ◽  
João Carlos Souza
Keyword(s):  
Built Environment ◽  
Computer Simulations ◽  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
Evacuation Time ◽  
Emergency Evacuations ◽  
Crowd Dynamics ◽  
The Social ◽  
The Impact

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.

scholarly journals Fuzzy Social Force Model for Pedestrian Evacuation under View-Limited Condition

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ningbo Cao ◽  
Liying Zhao ◽  
Mingtao Chen ◽  
Ruiqi Luo
Keyword(s):  
Fuzzy Sets ◽  
Model Performance ◽  
Space Distribution ◽  
Force Model ◽  
Social Force ◽  
Microscopic Simulation ◽  
Social Force Model ◽  
Limited Condition ◽  
Pedestrian Evacuation ◽  
The Impact

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.

scholarly journals A re-examination of the role of friction in the original Social Force Model

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

scholarly journals Simulating Interactions between Pedestrians, Segway Riders and Cyclists in Shared Spaces Using Social Force Model

2018 ◽  
Vol 34 ◽  
pp. 91-98 ◽  
Author(s):  
Charitha Dias ◽  
Hiroaki Nishiuchi ◽  
Satoshi Hyoudo ◽  
Tomoyuki Todoroki
Keyword(s):  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
Shared Spaces

Social Force Model Describing Pedestrian and Cyclist Behaviour in Shared Spaces

2019 ◽  
pp. 477-486
Author(s):  
Yufei Yuan ◽  
Bernat Goñi-Ros ◽  
Tim P. van Oijen ◽  
Winnie Daamen ◽  
Serge P. Hoogendoorn
Keyword(s):  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
Shared Spaces
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