Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing

2020 ◽  
pp. 281-295
Author(s):  
Bouchra Aylaj ◽  
Nicola Bellomo
Keyword(s):  
Parallel Computing ◽  
Dynamics Modeling ◽  
Crowd Dynamics

Crowd dynamics modeling and collision avoidance with OpenMP

2015 ◽  
Author(s):  
Albert Gutierrez-Milla ◽  
Francisco Borges ◽  
Remo Suppi ◽  
Emilio Luque
Keyword(s):  
Collision Avoidance ◽  
Dynamics Modeling ◽  
Crowd Dynamics

Agent-based Approach and Cellular Automata --- a Promising Perspective in Crowd Dynamics Modeling?

2016 ◽  
Vol 9 (1) ◽  
pp. 133 ◽  
Author(s):  
J. Wąs ◽  
J. Porzycki ◽  
R. Lubaś ◽  
J. Miller ◽  
G. Bazior
Keyword(s):  
Cellular Automata ◽  
Dynamics Modeling ◽  
Agent Based ◽  
Crowd Dynamics ◽  
Promising Perspective

scholarly journals DDDAS-Based Information-Aggregation for Crowd Dynamics Modeling with UAVs and UGVs

2015 ◽  
Vol 2 ◽  
Author(s):  
Yifei Yuan ◽  
Zhenrui Wang ◽  
Mingyang Li ◽  
Young-Jun Son ◽  
Jian Liu
Keyword(s):  
Information Aggregation ◽  
Dynamics Modeling ◽  
Crowd Dynamics

scholarly journals One-Way Coupling of Fire and Egress Modeling for Realistic Evaluation of Evacuation Process

2021 ◽  
pp. 036119812110326
Author(s):  
He-in Cheong ◽  
Zhiyu Wu ◽  
Arnab Majumdar ◽  
Washington Yotto Ochieng
Keyword(s):  
Computational Simulation ◽  
Human Interaction ◽  
Dynamics Modeling ◽  
Fire Dynamics ◽  
Evacuation Time ◽  
Simulation Tools ◽  
Crowd Dynamics ◽  
Fire Engineering ◽  
Crowd Density ◽  
The Impact

In the discipline of fire engineering, computational simulation tools are used to evaluate the available safe egress time (ASET) and required safe egress time (RSET) of a building fire. ASET and RSET are often analyzed separately, using computational fluid dynamics (CFD) and crowd dynamics, respectively. Although there are advantages to coupling the ASET and RSET analysis to quantify tenability conditions and reevaluate evacuation time within a building, the coupling process is computationally complex, requiring multiple steps. The coupling setup can be time-consuming, particularly when the results are limited to the modeled scenario. In addition, the procedure is not uniform throughout the industry. This paper presents the successful one-way coupling of CFD and crowd dynamics modeling through a new simplified methodology that captures the impact of fractional effective dose (FED) and reduced visibility from smoke on the individual evacuee’s movement and the human interaction. The simulation tools used were Fire Dynamics Simulator (FDS) and Oasys MassMotion for crowd dynamics. The coupling was carried out with the help of the software development kit of Oasys MassMotion in two different example geometries: an open-plan room and a floor with six rooms and a corridor. The results presented in this paper show that, when comparing an uncoupled and a coupled simulation, the effects of the smoke lead to different crowd density profiles, particularly closer to the exit, which elongates the overall evacuation time. This coupling method can be applied to any geometry because of its flexible and modular framework.

Introduction to Parallel Computing

2016 ◽  
Author(s):  
Zbigniew J. Czech
Keyword(s):  
Parallel Computing

Parallel Computing in Optimization

1998 ◽  
Vol 49 (7) ◽  
pp. 770-771
Author(s):  
V J Rayward-Smith
Keyword(s):  
Parallel Computing
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