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 A Modified Floor Field Model and Pareto Optimum of Pedestrian Evacuation Efficiency

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Yan Xu ◽  
Li-Jun Tian ◽  
Gui Yong
Keyword(s):  
Energy Consumption ◽  
Field Model ◽  
Pareto Optimum ◽  
Time Requirement ◽  
Pedestrian Evacuation ◽  
Floor Field ◽  
Evacuation Behavior

A modified floor field model is proposed to simulate the pedestrian evacuation behavior in a room with multiple exits. The modification relies upon introduction of a so-called semidynamical floor field which additionally embodies two cognition coefficients related to exit width and pedestrian distribution around exits. The energy consumption and time requirement of evacuees are numerically investigated and the Pareto optimum of evacuation efficiency is obtained by selecting the combinations of the two cognition coefficients.

PEDESTRIAN DYNAMICS IN A TWO-DIMENSIONAL COMPLEX SCENARIO USING A LOCAL VIEW FLOOR FIELD MODEL

2011 ◽  
Vol 22 (08) ◽  
pp. 775-803 ◽  
Author(s):  
JIA-BEI ZENG ◽  
BIAO LENG ◽  
ZHANG XIONG ◽  
ZHENG QIN
Keyword(s):  
Traffic Management ◽  
Convex Polygon ◽  
Field Model ◽  
Two Dimensional ◽  
Pedestrian Dynamics ◽  
Initial Decision ◽  
Global View ◽  
Local View ◽  
Floor Field ◽  
Complex Scenario

In this paper, an extended FF model (floor field model) to simulate pedestrian dynamics in complex scenarios is proposed. Considering that pedestrians are unaware of the global view of traffic path, we introduce pedestrians' local views and propose a framework to change a pedestrian's static floor field each time they enter a new convex area. A pedestrian's view is limited to a convex polygon. When they travel from one convex area to another, they make decisions about the next goal according to the distances between them and the candidate goals, as well as densities of capacity and herding behaviors. Meanwhile, after making an initial decision about the next goal, a pedestrian can estimate the travel time to reach each visible goal and change their path adaptively within the convex area. Simulations in two scenarios are conducted and the results show that pedestrians under local views behave more practically than those under global views in complex scenarios. Parameter settings are also discussed along with suggestions that can be given to designers for improving traffic management.

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.

scholarly journals A Modified Floor Field Model Combined with Risk Field for Pedestrian Simulation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Chao Wang ◽  
Jian Wang
Keyword(s):  
Numerical Simulations ◽  
Field Model ◽  
Model Parameters ◽  
C Language ◽  
Practical Applications ◽  
Proposed Model ◽  
Floor Field ◽  
Pedestrian Simulation ◽  
Extended Dynamic ◽  
Repulsion Effect

Microscopic evacuation models are of great value in both scientific research and practical applications. The floor field (FF) model is one of the most widely used models in previous research. However, the repulsion effect of hazard and the interaction between evacuees are not considered simultaneously. This paper proposes a modified floor field model combined with risk field and extended dynamic field to depict these features. The whole evacuation process is validated through a series of numerical simulations which are realized by C++ language. In addition, two different renewal mechanisms, namely, synchronous and asynchronous renewal mechanisms, are compared to validate the model parameters. Results show that the proposed model is able to partly reveal the typical pedestrian behaviors and the impacts of hazard on evacuation process.

scholarly journals Heterogeneous cellular automata subway station personnel evacuation model based on cooperative behavior

2020 ◽  
Vol 325 ◽  
pp. 02004
Author(s):  
Jie Zhuang ◽  
Chao Wang ◽  
Yongjiang He ◽  
Runze Song
Keyword(s):  
Cellular Automata ◽  
Field Model ◽  
Cooperative Behavior ◽  
Research Process ◽  
Formation Time ◽  
Subway Station ◽  
Evacuation Time ◽  
Floor Field ◽  
Evacuation Model ◽  
Subway Stations

In order to study the influence of cooperative behavior in the evacuation process of subway station personnel, and considering the heterogeneity of evacuees, the heterogeneous cellular automata method is adopted to establish a human evacuation model of subway station under cooperative behavior based on the floor field model. In the research process, the evacuated persons are divided into two types, which are seeking cooperation and accepting cooperation. Then, the effects of different cooperative behavior probability ratios of seeking cooperative personnel on evacuation efficiency, evacuation process, and evacuation bottleneck are analyzed through simulation. The result shows that cooperative behavior can effectively improve evacuation efficiency of the subway station, but it is limited by cooperative probability and the proportion of people seeking cooperation; Cooperative behavior plays a role in the whole evacuation process, which is mainly reflected in the later stage of evacuation and will promote the gathering of evacuees. The higher the probability of cooperation, the shorter the evacuation bottleneck formation time, the duration, and overall evacuation time, which will help improve the emergency safety of subway stations.

A New Floor Field Model for Pedestrian Evacuation Considering Local Density

2014 ◽  
Vol 505-506 ◽  
pp. 1172-1178
Author(s):  
Sheng Nan Li ◽  
Xin Gang Li
Keyword(s):  
Potential Field ◽  
Field Model ◽  
Local Density ◽  
Density Parameter ◽  
Evacuation Time ◽  
Pedestrian Dynamics ◽  
Pedestrian Evacuation ◽  
A Cell ◽  
Floor Field ◽  
Simulation Results

The behavior of pedestrians around the corner of a room or a corridor is one of the most important features in pedestrian evacuating dynamics. In order to study this in detail, an existing potential field model is modified to capture the pedestrian dynamic around corner by introducing a local density parameter. The local density parameter of a cell is defined as the pedestrian occupancy of the surrounding eight neighbors. Simulations are carried out to study pedestrian evacuation in rooms with corners formed by internal obstacles and walls. The simulation results show that the new model can reproduce the empirical pedestrian dynamics around corner. Pedestrians prefer to walk to lower pedestrian density area although the route may be a little longer. It is also shown that the total evacuation time could be reduced for the evacuation corridor is fully utilized.

scholarly journals Evacuation Model of Emotional Contagion Crowd Based on Cellular Automata

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Qian Xiao ◽  
Jiayang Li
Keyword(s):  
Cellular Automata ◽  
Emotional Contagion ◽  
Sis Model ◽  
Pedestrian Evacuation ◽  
Security Research ◽  
Movement Characteristics ◽  
Crowd Evacuation ◽  
Floor Field ◽  
Evacuation Model ◽  
Improved Model

Crowd evacuation under emergency is an important task of world public security research and practice. In order to describe the microemotional contagion of evacuation individuals, a cellular automata-based evacuation model of emotional contagion crowd based on the classical SIS model of infectious diseases is proposed in this paper. Firstly, the state of evacuation individual is defined as “emotional susceptible” and “emotional infective.” Then, a dynamic model considering emotional contagion is established with cellular automata. Based on the models of static floor field and dynamic floor field, the emotion updating rules and state updating rules are constructed. The influence of perception domain radius on pedestrian evacuation process is analyzed through experiments. The conclusion can provide evacuation guidance for evacuation individuals. The comparative experiment results show that the improved model can reflect the movement characteristics of evacuation individuals effectively. The evacuation efficiency of the whole system is also effectively improved due to the consideration of emotional contagion and evacuation strategy.

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