Modeling Different Groups of Pedestrians With Physical Disability, Using the Social Force Model and Fractional Order Potential Fields

2015 ◽  
Author(s):  
Daniel Stuart ◽  
Mohammad Sadra Sharifi ◽  
Keith Christensen ◽  
Anthony Chen ◽  
Yong Seog Kim ◽  
...  
Keyword(s):  
Fractional Order ◽  
Physical Disability ◽  
Physical Disabilities ◽  
Potential Fields ◽  
Entire Group ◽  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
The Social ◽  
Disability Group

Modeling individuals with physical disabilities in a crowd has previously been in the form of a pure adjustment to velocity representing an entire group. However, current research involving individuals with various types of disability has shown interactions are far more complex and varying. These types comprised of mechanical and electric wheelchair, vision impaired, and various other mobility-related disabilities. Preliminary results have shown that each group varies not only in velocity, but also in composition of their environment. Further results show other differences in interaction within a crowd. This paper provides for some preliminary differences found in the study of individuals with disabilities within a crowd and how those differences change pedestrian interaction. Using the nature of Fractional Order Potential Fields (FOPF), this paper will provide some results for how pedestrian interaction can be adjusted to fit the varying differences found within each disability group.

Crowds involving individuals with disabilities: Modeling heterogeneity using Fractional Order Potential Fields and the Social Force Model

2019 ◽  
Vol 514 ◽  
pp. 244-258 ◽  
Author(s):  
Daniel S. Stuart ◽  
Mohammad Sadra Sharifi ◽  
Keith M. Christensen ◽  
Anthony Chen ◽  
Yong Seog Kim ◽  
...  
Keyword(s):  
Fractional Order ◽  
Potential Fields ◽  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
Individuals With Disabilities ◽  
The Social

scholarly journals SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA

2007 ◽  
Vol 10 (supp02) ◽  
pp. 271-288 ◽  
Author(s):  
ANDERS JOHANSSON ◽  
DIRK HELBING ◽  
PRADYUMN K. SHUKLA
Keyword(s):  
Large Scale ◽  
Optimal Parameter ◽  
Video Tracking ◽  
Urban Environments ◽  
Force Model ◽  
Tracking Data ◽  
Social Force ◽  
Social Force Model ◽  
Video Recordings ◽  
The Social

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.

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 Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Juan Wei ◽  
Wenjie Fan ◽  
Zhongyu Li ◽  
Yangyong Guo ◽  
Yuanyuan Fang ◽  
...  
Keyword(s):  
State Observer ◽  
Extended State Observer ◽  
Force Model ◽  
Social Force ◽  
Extended State ◽  
Social Force Model ◽  
External Interference ◽  
The Social ◽  
Crowd Evacuation ◽  
Improved Model

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.

Sign in / Sign up

Export Citation Format

Share Document