Social Field Model to Simulate Bidirectional Pedestrian Flow Using Cellular Automata

2013 ◽  
pp. 197-206 ◽  
Author(s):  
Jorge D. González ◽  
M. Luisa Sandoval ◽  
Joaquín Delgado
Keyword(s):  
Cellular Automata ◽  
Field Model ◽  
Pedestrian Flow ◽  
Social Field

Study on bi-direction pedestrian flow using cellular automata simulation

2010 ◽  
Vol 389 (3) ◽  
pp. 527-539 ◽  
Author(s):  
Hao Yue ◽  
Hongzhi Guan ◽  
Juan Zhang ◽  
Chunfu Shao
Keyword(s):  
Cellular Automata ◽  
Pedestrian Flow

SIMULATION OF PEDESTRIAN DYNAMIC USING A VECTOR FLOOR FIELD MODEL

2013 ◽  
Vol 24 (04) ◽  
pp. 1350023 ◽  
Author(s):  
JUN YANG ◽  
ZHONGSHENG HOU ◽  
MINGHUI ZHAN
Keyword(s):  
Field Model ◽  
Computational Cost ◽  
Quantitative Comparison ◽  
Acceptable Level ◽  
Pedestrian Flow ◽  
Pedestrian Movement ◽  
Main Challenge ◽  
Pedestrian Traffic ◽  
Lane Formation ◽  
Floor Field

Simulation of complex scenarios and multi-direction pedestrian flow is a main challenge to microscopic model of pedestrian movement. It is an issue to simulate real pedestrian traffic with great fidelity while keeping its computational cost at an acceptable level. This paper reports on an improved floor field model called vector floor field model to simulate pedestrian flows in some basic scenarios. In this model, vectorization of static floor field and dynamic floor field are used to indicate preference directions and the pedestrian flow tendency, respectively. Pedestrian transition depends on both their preference directions and tendency. The simulations in some basic scenarios are conducted, quantitative comparison to the record of practical experiments and standard floor field model is given as well, and the results indicate the effectivity of this model. An adjusted static vector floor field is also proposed to simulate pedestrian flow in turning scenario. The vector floor field model is also sufficient to simulate some essential features in pedestrian dynamic, such as lane formation. This model can be widely used in the simulation of multi-direction pedestrian at turning, crossing and other junctions.

scholarly journals Floor Field Model Based on Cellular Automata for Simulating Indoor Pedestrian Evacuation

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Xiao Yang ◽  
Binxu Wang ◽  
Zheng Qin
Keyword(s):  
Cellular Automata ◽  
Field Experiments ◽  
Field Model ◽  
Field Method ◽  
Research Centre ◽  
Model Parameters ◽  
Field Approach ◽  
Pedestrian Evacuation ◽  
Floor Field ◽  
Complex Scenario

A new static floor field method for simulations of evacuation processes based on cellular automaton was presented in this paper. This model applies an inertia static floor field approach to describe the interaction between the pedestrians and the cell. Here we study a rather simple situation and a complex scenario. We simulate and reproduce Seyfried’s field experiments at the Research Centre Jülich and use its empirical data to validate our model. The concept of scenario-familiarity of the crowd has been proposed to explain the model. It is shown that the variation of the model parameters deeply impacts the evacuation efficiency. The relation between minimal evacuation times and the knowledge of the exit that the pedestrian acknowledges is discussed.

scholarly journals Potential field cellular automata model for pedestrian flow

2012 ◽  
Vol 85 (2) ◽  
Author(s):  
Peng Zhang ◽  
Xiao-Xia Jian ◽  
S. C. Wong ◽  
Keechoo Choi
Keyword(s):  
Cellular Automata ◽  
Potential Field ◽  
Pedestrian Flow ◽  
Cellular Automata Model

Potential field cellular automata model for overcrowded pedestrian flow

2020 ◽  
Vol 16 (3) ◽  
pp. 749-775 ◽  
Author(s):  
Peng Zhang ◽  
Xiao-Yang Li ◽  
Hua-Yu Deng ◽  
Zhi-Yang Lin ◽  
Xiao-Ning Zhang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Potential Field ◽  
Pedestrian Flow ◽  
Cellular Automata Model

A STUDY ON THE EVACUATION OF PEOPLE IN A HALL USING THE CELLULAR AUTOMATON MODEL

2007 ◽  
Vol 18 (03) ◽  
pp. 359-367 ◽  
Author(s):  
ROUHANG CHEN ◽  
BING QIU ◽  
CHAOYING ZHANG ◽  
LINGJIANG KONG ◽  
MUREN LIU
Keyword(s):  
Cellular Automata ◽  
Lattice Gas ◽  
Spatial Configuration ◽  
Transition Probability ◽  
Initial Density ◽  
Lattice Gas Model ◽  
Escape Time ◽  
Pedestrian Flow ◽  
Cellular Automata Model ◽  
Random Walkers

We have modified the transition probability calculations in the lattice gas model of biased-random walkers. Adopting the collision-avoided rules, a new cellular automata model of pedestrian flow which updates in parallel is established. Using this model, we have simulated and studied the evacuation process of people in a hall. The spatial configuration of people is presented, which is more consistent with the scene of reality than that presented in the lattice-gas model. It is found that the escape time tc closely depends on the width of the door and the initial density of people, it scales as tc ∝ W-0.55±0.01 and tc ∝ ρ0.98±0.01 ≈ ρ.

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

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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