An Automaton Model on Curvilinear Grids for the Simulation of Pedestrian Flow

2009 ◽  
Author(s):  
Hartmut Schwandt ◽  
Minjie Chen ◽  
Günter Bärwolff ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
2020 ◽  
Vol 48 (4) ◽  
pp. 45-111
Author(s):  
A. F. Shepetkin

A new algorithm for constructing orthogonal curvilinear grids on a sphere for a fairly general geometric shape of the modeling region is implemented as a “compile-once - use forever” software package. It is based on the numerical solution of the inverse problem by an iterative procedure -- finding such distribution of grid points along its perimeter, so that the conformal transformation of the perimeter into a rectangle turns this distribution into uniform one. The iterative procedure itself turns out to be multilevel - i.e. an iterative loop built around another, internal iterative procedure. Thereafter, knowing this distribution, the grid nodes inside the region are obtained solving an elliptic problem. It is shown that it was possible to obtain the exact orthogonality of the perimeter at the corners of the grid, to achieve very small, previously unattainable level of orthogonality errors, as well as make it isotropic -- local distances between grid nodes about both directions are equal to each other.


2016 ◽  
Vol 166 (2) ◽  
pp. 211-229 ◽  
Author(s):  
Li Chen ◽  
Simone Göttlich ◽  
Qitao Yin

2017 ◽  
Vol 14 (1) ◽  
pp. 184-203 ◽  
Author(s):  
Luthful Alahi Kawsar ◽  
Noraida Abdul Ghani ◽  
Anton Abdulbasah Kamil ◽  
Adli Mustafa

Author(s):  
Ninad Gore ◽  
Sanjay Dave ◽  
Jiten Shah ◽  
Shriniwas Arkatkar ◽  
Srinivas Pulugurtha

2021 ◽  
Vol 10 (7) ◽  
pp. 479
Author(s):  
Yihang Li ◽  
Liyan Xu

The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designate top-level epidemic prevention policies and specific epidemic prevention measures. This study investigates whether it is more appropriate to use groups of POIs with similar pedestrian flow patterns as the unit of study rather than functional categories of POIs. In this study, we analyzed the hour-by-hour pedestrian flow data of key locations in Beijing before, during, and after the strict epidemic prevention and control period, and we found that the pedestrian flow patterns differed greatly in different periods by using a composite clustering index; we interpreted the clustering results from two perspectives: groups of pedestrian flow patterns and functional categories. The results show that depending on the specific stage of epidemic prevention and control, the number of unique pedestrian flow patterns decreased from four before the epidemic to two during the strict control stage and then increased to six during the initial resumption of work. The restrictions on movement are correlated with most of the visitations, and the release of restrictions led to an increase in the variety of unique pedestrian flow patterns compared to that in the pre-restriction period, even though the overall number of visitations decreased, indicating that social restrictions led to differences in the flow patterns of POIs and increased social distance.


2008 ◽  
Vol 76 (3) ◽  
pp. 337-350 ◽  
Author(s):  
Yinhua Xia ◽  
S. C. Wong ◽  
Mengping Zhang ◽  
Chi-Wang Shu ◽  
William H. K. Lam

2016 ◽  
Vol 458 ◽  
pp. 31-42 ◽  
Author(s):  
Zhijian Fu ◽  
Lin Luo ◽  
Yue Yang ◽  
Yifan Zhuang ◽  
Peitong Zhang ◽  
...  

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