A microcosmic discrete occupant evacuation model based on individual characteristics

2004 ◽  
Vol 47 (5) ◽  
pp. 608 ◽  
Author(s):  
Lizhong YANG
Keyword(s):  
Individual Characteristics ◽  
Model Based ◽  
Evacuation Model ◽  
Occupant Evacuation

scholarly journals Analysis of the Evacuation Capacity of Parallel Double Running Stairs in Different Merging Form Based on Simulation

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xia-zhong Zheng ◽  
Xue-ling Xie ◽  
Dan Tian ◽  
Jian-lan Zhou ◽  
Ming Zhang
Keyword(s):  
Computer Simulation ◽  
Evaluation Model ◽  
Pedestrian Flow ◽  
Agent Based Model ◽  
Evacuation Time ◽  
Agent Based ◽  
Positive Correlation ◽  
Model Based ◽  
Evacuation Model ◽  
Merging Behavior

In order to analyze the evacuation capacity of parallel double running stairs, a dozen stairs merging forms are set by investigation and statistics, and the improved agent-based evacuation model that considers the merging behavior is used to simulate the process of merging and evacuation in the stairs. The stairs evacuation capacity is related to the evacuation time and the robustness of stairs, and the evacuation time can be calculated by using the improved agent-based model based on computer simulation. The robustness of each merging form can be obtained according to the fluctuation degree of evacuation time under the different pedestrian flow. The evaluation model of stairs evacuation capacity is established by fusing the evacuation time and the robustness of stairs. Combined with the specific example to calculate the evacuation capacity of each stairs form, it is found that every merging form has different evacuation time and different robustness, and the evacuation time has not positive correlation with the robustness for the same form stairs. Meanwhile, the evacuation capacity of stairs is not related to the number of the floor entrances. Finally, the results show that the evacuation capacity of stairs is optimal when the floor entrances are close to out stairs in parallel double running stairs and suitable to the case where pedestrian flow and the change of pedestrian flow are large.

scholarly journals Using of type-ii fuzzy sets and Z-numbers for expert group information formalization

2020 ◽  
Vol 24 (5) ◽  
pp. 116-121
Author(s):  
O.M. Poleshchuk ◽  
Keyword(s):  
Fuzzy Sets ◽  
Individual Characteristics ◽  
Type Ii ◽  
Input Information ◽  
Expert Information ◽  
Model Based ◽  
Different Types ◽  
Group Information ◽  
Semantic Spaces ◽  
The Individual

Two models of formalizing group expert information based on fuzzy sets of the second type and Z-numbers have been developed. The construction of fuzzy sets of the second type and components of Z-numbers is carried out using full orthogonal semantic spaces. The construction of semantic spaces is carried out using statistical information or information obtained as a result of a direct survey of experts. The input information for the model based on fuzzy sets of the second type are linguistic estimates of objects. The input information for the model based on Z-numbers are linguistic estimates of objects and the reliability of these estimates. The developed models expand the possibilities of processing expert information, allow preserving the individual characteristics of expert criteria embedded in the data, and at the same time correctly process different types of uncertainty inherent in this data.

A cellular automaton evacuation model based on mobile robot’s behaviors

2007 ◽  
Vol 52 (5) ◽  
pp. 680-684 ◽  
Author(s):  
WenGuo Weng ◽  
HongYong Yuan ◽  
WeiCheng Fan
Keyword(s):  
Cellular Automaton ◽  
Model Based ◽  
Evacuation Model

scholarly journals Model-based clustering of multi-tissue gene expression data

2019 ◽  
Author(s):  
Pau Erola ◽  
Johan L M Björkegren ◽  
Tom Michoel
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Clustering Algorithm ◽  
Expression Profiles ◽  
Individual Characteristics ◽  
Supplementary Information ◽  
Expression Data ◽  
Model Based ◽  
Tissue Gene Expression ◽  
Lemon Tree

Abstract Motivation Recently, it has become feasible to generate large-scale, multi-tissue gene expression data, where expression profiles are obtained from multiple tissues or organs sampled from dozens to hundreds of individuals. When traditional clustering methods are applied to this type of data, important information is lost, because they either require all tissues to be analyzed independently, ignoring dependencies and similarities between tissues, or to merge tissues in a single, monolithic dataset, ignoring individual characteristics of tissues. Results We developed a Bayesian model-based multi-tissue clustering algorithm, revamp, which can incorporate prior information on physiological tissue similarity, and which results in a set of clusters, each consisting of a core set of genes conserved across tissues as well as differential sets of genes specific to one or more subsets of tissues. Using data from seven vascular and metabolic tissues from over 100 individuals in the STockholm Atherosclerosis Gene Expression (STAGE) study, we demonstrate that multi-tissue clusters inferred by revamp are more enriched for tissue-dependent protein-protein interactions compared to alternative approaches. We further demonstrate that revamp results in easily interpretable multi-tissue gene expression associations to key coronary artery disease processes and clinical phenotypes in the STAGE individuals. Availability and implementation Revamp is implemented in the Lemon-Tree software, available at https://github.com/eb00/lemon-tree Supplementary information Supplementary data are available at Bioinformatics online.

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