Long-term congestion anticipation and aversion in pedestrian simulation using floor field cellular automata

2014 ◽  
Vol 48 ◽  
pp. 195-211 ◽  
Author(s):  
Jiun-Jia Hsu ◽  
James C. Chu
Keyword(s):  
Cellular Automata ◽  
Floor Field ◽  
Pedestrian Simulation

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

2021 ◽  
Vol 13 (19) ◽  
pp. 10621
Author(s):  
Jinrui Liu ◽  
Maosheng Li ◽  
Panpan Shu
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Field Potential ◽  
Distribution Characteristics ◽  
Cellular Automata Model ◽  
Floor Field ◽  
Spatial Indicators ◽  
Temporal And Spatial ◽  
Pedestrian Simulation ◽  
Ks Test

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.

Effect of group behavior on pedestrian choice for vertical walking facilities

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.

Pedestrian evacuation behavior analysis and simulation in multi-exits case

2017 ◽  
Vol 28 (10) ◽  
pp. 1750128 ◽  
Author(s):  
Yongxing Li ◽  
Hongfei Jia ◽  
Jun Li ◽  
Jian Gong ◽  
Kechao Sun
Keyword(s):  
Cellular Automata ◽  
Choice Model ◽  
Current Position ◽  
Time Model ◽  
Evacuation Time ◽  
Pedestrian Evacuation ◽  
Shortest Distance ◽  
Evacuation Behavior ◽  
Exit Choice ◽  
Pedestrian Simulation

Considering the process of pedestrian evacuation as pedestrian walking freely from current position to exit and queuing at the exit, estimated evacuation time model for single pedestrian is established. Based on estimated evacuation time and shortest distance, pedestrian exit choice model is established considering pedestrian preference. Pedestrian exit choice model is added into pedestrian simulation model which is built based on cellular automata. Pedestrian evacuation behavior in multi-exits case is simulated. The simulations indicate that pedestrian evacuation model built in our work describes the pedestrian evacuation behavior well.

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.

Modeling fatigue of ascending stair evacuation with modified fine discrete floor field cellular automata

2019 ◽  
Vol 383 (16) ◽  
pp. 1897-1906 ◽  
Author(s):  
Zhijian Fu ◽  
Xingzhou Zhan ◽  
Lin Luo ◽  
Andreas Schadschneider ◽  
Junmin Chen
Keyword(s):  
Cellular Automata ◽  
Floor Field

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

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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