Shadow obstacle model for realistic corner-turning behavior in crowd simulation

2016 ◽  
Vol 17 (3) ◽  
pp. 200-211 ◽  
Author(s):  
Gao-qi He ◽  
Yi Jin ◽  
Qi Chen ◽  
Zhen Liu ◽  
Wen-hui Yue ◽  
...  
Keyword(s):  
Crowd Simulation ◽  
Turning Behavior ◽  
Corner Turning

Evaluation of Guidance Systems at Dynamic Public Transport Hubs Using Crowd Simulation

2020 ◽  
Author(s):  
Michael Wagner ◽  
Henriette Cornet ◽  
David Eckhoff ◽  
Philipp Andelfinger ◽  
Wentong Cai ◽  
...  
Keyword(s):  
Public Transport ◽  
Crowd Simulation ◽  
Guidance Systems

scholarly journals Sensitivity Analysis for Microscopic Crowd Simulation

Algorithms ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 162
Author(s):  
Marion Gödel ◽  
Rainer Fischer ◽  
Gerta Köster
Keyword(s):  
Sensitivity Analysis ◽  
Low Cost ◽  
Input Parameter ◽  
Dimensional Subspace ◽  
Crowd Simulation ◽  
Pedestrian Dynamics ◽  
Sensitivity Indices ◽  
Expensive Problems ◽  
Influential Parameters ◽  
Typical Scenario

Microscopic crowd simulation can help to enhance the safety of pedestrians in situations that range from museum visits to music festivals. To obtain a useful prediction, the input parameters must be chosen carefully. In many cases, a lack of knowledge or limited measurement accuracy add uncertainty to the input. In addition, for meaningful parameter studies, we first need to identify the most influential parameters of our parametric computer models. The field of uncertainty quantification offers standardized and fully automatized methods that we believe to be beneficial for pedestrian dynamics. In addition, many methods come at a comparatively low cost, even for computationally expensive problems. This allows for their application to larger scenarios. We aim to identify and adapt fitting methods to microscopic crowd simulation in order to explore their potential in pedestrian dynamics. In this work, we first perform a variance-based sensitivity analysis using Sobol’ indices and then crosscheck the results by a derivative-based measure, the activity scores. We apply both methods to a typical scenario in crowd simulation, a bottleneck. Because constrictions can lead to high crowd densities and delays in evacuations, several experiments and simulation studies have been conducted for this setting. We show qualitative agreement between the results of both methods. Additionally, we identify a one-dimensional subspace in the input parameter space and discuss its impact on the simulation. Moreover, we analyze and interpret the sensitivity indices with respect to the bottleneck scenario.

scholarly journals Dynamic three-dimensional observation of corner turning in LX-17 with flash x-rays

2020 ◽  
Author(s):  
Joseph W. Tringe ◽  
Michael B. Zellner ◽  
Clifton H. Mortensen ◽  
Franco J. Gagliardi ◽  
Jerel A. Smith ◽  
...  
Keyword(s):  
Three Dimensional ◽  
X Rays ◽  
Corner Turning

scholarly journals A history of crowd simulation: the past, evolution, and new perspectives

2021 ◽  
Author(s):  
Soraia Raupp Musse ◽  
Vinicius Jurinic Cassol ◽  
Daniel Thalmann
Keyword(s):  
Crowd Simulation ◽  
The Past ◽  
History Of

A Contribution to the Analysis of Corner Turning Rib Problems

2006 ◽  
Vol 31 (4) ◽  
pp. 299-305 ◽  
Author(s):  
Jiří Vágenknecht ◽  
Vladislav Adamík
Keyword(s):  
Corner Turning
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