Subdivided Cellular Automata Model Considering Anticipation Floor Field and Analysis of Pedestrian Detour Behavior

The micro-pedestrian simulation model represented by the cellular automata model is an important simulation model. Improvements in various aspects enable a better description of the various behaviors of pedestrians, such as pedestrian avoidance behavior, companion behavior, as well as transcendence behavior, waiting behavior and detour behavior. This paper takes the pedestrian detour behavior in the circle antipode experiment as the main entry point. The subdivision cellular automaton model is integrated into the prediction field to model and simulate the detour behavior. At the same time, it explores the degree of subdivision of the cell. Pedestrian heterogeneity and the influence of predicted field potential energy on the simulated pedestrian trajectory. Finally, based on the temporal and spatial indicators of pedestrian trajectory characteristics, the KS test and DTW method are used to evaluate the similarity of the trajectory distribution characteristics and time series characteristics with experimental samples, and evaluate and compare models with or without heterogeneity. The results show that the trajectory characteristics of heterogeneous pedestrians are closer to the experiment than homogeneous pedestrians.

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Effect of group behavior on pedestrian choice for vertical walking facilities

International Journal of Modern Physics B ◽

10.1142/s0217979220500563 ◽

2020 ◽

Vol 34 (07) ◽

pp. 2050056

Author(s):

Yongxing Li ◽

Wenjing Wu ◽

Xin Guo ◽

Yu Lin ◽

Shiguang Wang

Keyword(s):

Support Vector Machine ◽

Cellular Automata ◽

Simulation Model ◽

Choice Model ◽

Group Behavior ◽

Support Vector ◽

Floor Field ◽

The Mean ◽

Simulation Results ◽

Pedestrian Simulation

Analyzing the characteristics of group behavior, leader-follower model which adopts dynamic group floor field to represent the attraction in a group is used to model pedestrian group behavior. Pedestrian choice model of vertical walking facilities based on support vector machine (SVM) with the effect of group behavior is established. Fusing pedestrian choice model of vertical walking facilities and leader-follower model into a cellular automata (CA)-based pedestrian simulation model, we simulate the pedestrian choice process for vertical walking facilities with the effect of group behavior. The simulation results indicate that with the effect of group behavior, the choice results of some pedestrians are changed, and the efficiency of pedestrians passing is reduced. To some extent, the efficiency of pedestrians passing is improved with the mean distribution of luggage in each group.

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Resolution of deadlocks in a fine discrete floor field cellular automata model—modeling of turning and lateral movement at bottlenecks

Journal of Statistical Mechanics Theory and Experiment ◽

10.1088/1742-5468/ab4bbe ◽

2019 ◽

Vol 2019 (12) ◽

pp. 123402

Author(s):

Zhijian Fu ◽

Qiangqiang Deng ◽

Andreas Schadschneider ◽

Yanlai Li ◽

Lin Luo

Keyword(s):

Cellular Automata ◽

Lateral Movement ◽

Cellular Automata Model ◽

Floor Field

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Simulation Model for the Decision-Making Behavior in Pedestrian Evacuation with Floor Field Cellular Automata Approach

International Journal of Smart Home ◽

10.14257/ijsh.2015.9.11.19 ◽

2015 ◽

Vol 9 (11) ◽

pp. 175-186 ◽

Cited By ~ 1

Author(s):

Dawei Zhang ◽

Haitao Zhu ◽

Chong Liu

Keyword(s):

Decision Making ◽

Cellular Automata ◽

Simulation Model ◽

Pedestrian Evacuation ◽

Floor Field ◽

Decision Making Behavior

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Modeling Patterns of Land Use in Chinese Cities Using an Integrated Cellular Automata Model

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi7100403 ◽

2018 ◽

Vol 7 (10) ◽

pp. 403 ◽

Cited By ~ 4

Author(s):

Yanlei Feng ◽

Yi Qi

Keyword(s):

Land Use ◽

Cellular Automata ◽

Simulation Model ◽

Large Scale ◽

Driving Forces ◽

Simulation Models ◽

Simulation Studies ◽

Cellular Automata Model ◽

Urban Simulation ◽

Land Use And Cover

This paper introduces an urban growth simulation model applied to the full scope of China. The model uses a multicriteria decision analysis to calculate the land conversion probability and then integrates it with a cellular automata model. A nonlinear relationship is incorporated in to the model to interpret the impacts of different Land Use and Cover Change driving forces. The Analytical Hierarchical Process is also implemented to compute the variance between weights of different factors. Multiple sizes of neighborhood and different urban ratios in the model rules are tested, and a 5 × 5 neighborhood and an urban threshold of 0.33 are chosen. The study demonstrates the importance of spatial analysis on socioeconomic factors, population, and Gross Domestic Product in land use change simulation modeling. The model fills the gap between the purely economic theory simulation model and the geographic simulation model. The nationwide urban simulation is an example that addresses the lack of urban simulation studies in China and among large-scale simulation models.

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Emergency Evacuation Simulation in Open Air Events Using a Floor Field Cellular Automata Model

Progress in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-30244-3_53 ◽

2019 ◽

pp. 642-653

Author(s):

Dionysios Strongylis ◽

Charalampos S. Kouzinopoulos ◽

Georgios Stavropoulos ◽

Konstantinos Votis ◽

Dimitrios Tzovaras

Keyword(s):

Cellular Automata ◽

Emergency Evacuation ◽

Evacuation Simulation ◽

Cellular Automata Model ◽

Floor Field

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An Extended Evacuation Floor Field Cellular Automata Model with Guide Field Strength

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1049-1050.1713 ◽

2014 ◽

Vol 1049-1050 ◽

pp. 1713-1717

Author(s):

Jing Zhao ◽

Bin Bing Li ◽

Lin Feng

Keyword(s):

Cellular Automata ◽

Field Strength ◽

Field Model ◽

Extended Model ◽

Evacuation Simulation ◽

Cellular Automata Model ◽

Guide Field ◽

Dynamic Field ◽

Floor Field ◽

Evacuation Behavior

In this paper, we improved the traditional FF (floor Field) model by using the theory of cellular automata on personnel evacuation simulation on redefining static and dynamic field strength and adding guide field strength in the model. The extended model analyzed the different impact of directional dynamic guiding mode on personnel evacuation behavior and after the simulation of an evacuation in an imaginary supermarket, the analysis of the situation shows a better result.

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The Application Study of Simulation Model Based on Cellular Automata in the Evolution of Internet Public Opinion

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.198-199.828 ◽

2012 ◽

Vol 198-199 ◽

pp. 828-832 ◽

Cited By ~ 2

Author(s):

Cui You Yao

Keyword(s):

Public Opinion ◽

Cellular Automata ◽

Simulation Model ◽

Network Evolution ◽

The Internet ◽

Application Study ◽

Cellular Automata Model ◽

Model Based

In this paper, the author analysized the internet evolution of public opinion and thought it was suitable for simulating network evolution in public opinion by using cellular automata model. At the same time, it was discussed for the application of cellular automata simulation model of internet evolution of public opinion. In the end, the author gave some conclusions.

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