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.

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

scholarly journals Modelling Unidirectional Crowd Motion in a Corridor with Statistical Characteristics of Pedestrian Movements

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tan Chen ◽  
Wei Wang ◽  
Yu Tu ◽  
Xuedong Hua
Keyword(s):  
Lattice Gas ◽  
Local Density ◽  
Transition Probability ◽  
Step Length ◽  
Lattice Gas Model ◽  
Statistical Characteristics ◽  
Proposed Model ◽  
Crowd Motion ◽  
The Relationship ◽  
Pedestrian Simulation

Lattice gas model is a kind of mature and convenient pedestrian simulation model. The original lattice gas model adopts discontinuous step length and finite moving directions to simulate crowd motion, which will lead to some unreasonable movements; besides, the transition probability used in this model is often manually designed and lacks the verification of realistic pedestrian trajectories. Based on an open pedestrian trajectory dataset, we first derived the relationship between local density and the distribution of pedestrian movements’ length and then proposed an extended lattice gas model considering the statistical characteristics of pedestrian movements, which extends the concept of transition probability in the original lattice gas model to distribution of pedestrian movements’ length in two perpendicular directions. The proposed model is applied to a scenario which is the same as the experiments of the open dataset, and the numerical results demonstrate that the proposed model can reproduce the fundamental diagrams and the transition probability of the experimental dataset well. This study is helpful to understand the statistical characteristics of pedestrian movements and can improve the applicability and accuracy of the lattice gas 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

Simulation of Pedestrian Flow on Floor-Stair Interface Using an Extended Lattice Gas Model

2013 ◽  
Vol 444-445 ◽  
pp. 1550-1554
Author(s):  
Fei Zhou Huo ◽  
Wei Guo Song ◽  
Wei Lv ◽  
K.M. Liew
Keyword(s):  
Lattice Gas ◽  
Injection Rate ◽  
Lattice Gas Model ◽  
Extended Model ◽  
Pedestrian Flow ◽  
Mean Velocity ◽  
Merging Process ◽  
The Mean ◽  
Simulation Results ◽  
Merging Behavior

In this paper, an extended lattice gas model is proposed to simulate pedestrian flow on floor-stair interface by considering inner-side walking preference, turning behavior and different desired speeds. The effects of different injection rates for pedestrians from corridor on the mean velocity and occupancy are investigated, and the merging behavior, which happened on floor-stair interface, is analyzed. The simulation results show that the extended model can reproduce some essential features of pedestrian flow on stairs, such as transition of movement state at higher injection rate, merging behavior on floor-stair interface. The effects of two kind of typical structures of the floor-stair interface on pedestrian merging behavior are discussed, and merging process simulated by the model appears biased to that the corridor is connected opposite to the incoming stair.

SUBCONSCIOUS EFFECT ON PEDESTRIAN COUNTER FLOW IN A MODIFIED LATTICE GAS MODEL WITH THE VARIABLE TRANSITION PROBABILITY

2009 ◽  
Vol 20 (12) ◽  
pp. 1945-1961 ◽  
Author(s):  
HUA KUANG ◽  
SONG TAO ◽  
SHIQIANG DAI ◽  
XINGLI LI
Keyword(s):  
Lattice Gas ◽  
Transition Probability ◽  
Underlying Mechanism ◽  
Lattice Gas Model ◽  
Mean Flow ◽  
Counter Flow ◽  
Mean Velocity ◽  
The Mean ◽  
Simulation Results ◽  
Traffic Rules

Pedestrian behavioral modeling is an important topic to reproduce rich pedestrian dynamics phenomena. In this paper, a modified lattice gas model is proposed to simulate pedestrian counter flow under periodic boundary conditions by considering the variable transition probability, which can quantitatively describe complex human subconscious behaviors and distinguish the individual and common characteristics of pedestrians. Four types of walkers are involved in the model, and their dynamical characteristics are discussed in some complex situations. The simulation results show that the presented model can reproduce some essential features of pedestrian counter flows, such as the lane formation, segregation effect and phase separation. For the mixed pedestrian flows, the comparison between the subconscious behaviors of obeying the traffic rules and those of breaking the traffic rules indicates that the former could effectively reduce the occurrence of jam cluster. In addition, it is found that with increase of the strength of drift D1, the jam transition threshold decreases. Finally, the simulation results are compared with our previous study (see Ref. 32). It is shown that the mean velocity and the mean flow are always larger at the free moving phase, and the underlying mechanism is discussed in detail.

scholarly journals Effects of Ticket-Checking Failure on Dynamics of Pedestrians at Multi-Exit Inspection Points with Various Layouts

2019 ◽  
Vol 16 (5) ◽  
pp. 846
Author(s):  
Meiying Jiang ◽  
Qibing Jin ◽  
Lisheng Cheng
Keyword(s):  
Cellular Automata ◽  
Risk Level ◽  
Pedestrian Flow ◽  
Average Delay ◽  
Public Places ◽  
Railway Stations ◽  
Cellular Automata Model ◽  
Pedestrian Dynamics

It is of great significance to understand the dynamics and risk level of pedestrians at the multi-exit inspection points, since they are the bottlenecks of pedestrian flow leaving public places, such as subway and railway stations. Microscopic simulations were carried out with a cellular automata model to investigate the effects of ticket-checking failure on pedestrian dynamics when passing through the multi-exit inspection points with parallel, convex and concave layouts. It was found that although ticket-checking failure could reduce the passing efficiency, it also lowers the competitive level between pedestrians and enhances passing safety in the range of medium and high pedestrian density. The competitive level decreases when increasing the probability of ticket-checking failure and the corresponding delay. The probability of ticket-checking failure and the corresponding delay have equivalent effects on passing efficiency and safety, and can be integrated as average delay. A fitted equation was proposed for the dependence of passing efficiency and safety on average delay. With the existence of ticket-checking failure in reality, the concave layout of the multi-exit inspection points gives rise to a much lower competitive level compared with the parallel and convex ones, which would enhance the safety of pedestrians at the exits.

scholarly journals Development of a Microscopic Fuzzy Inference Based Cellular Automata Model for Pedestrian Flow

2021 ◽  
pp. 1-17
Author(s):  
Ujjal Chattaraj
Keyword(s):  
Cellular Automata ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Field Structure ◽  
Microscopic Model ◽  
Pedestrian Flow ◽  
Inference System ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
Over Time

In this work a microscopic model on pedestrian flow has been proposed. Observed data is used to calibrate and validate the proposed model. The model developed here uses a fuzzy inference system to represent the rules and a force–field structure to represent the repulsive and attractive impacts of objects and goals, respectively in the flow space. The flow space and time are discretized and viewed as discrete quantities. This microscopic model of pedestrian behavior, which essentially models how each pedestrian behaves over time in the flow space, is embedded in a simulation model which is used to simulate situations similar to the ones for which experiments have been done. The results show that the model performs reasonably well.

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