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.

Pedestrian Evacuation Based on a Dynamic Parameters Model

2011 ◽  
Vol 97-98 ◽  
pp. 956-959 ◽  
Author(s):  
Nuo Zhu ◽  
Bin Jia ◽  
Chun Fu Shao
Keyword(s):  
Decision Making ◽  
Cellular Automata ◽  
Decision Making Process ◽  
Two Dimensional ◽  
Dynamic Parameters ◽  
Exponential Relationship ◽  
Evacuation Time ◽  
Pedestrian Evacuation ◽  
Simulation Results ◽  
Negative Exponential

A dynamic parameters model is presented based on cellular automata for pedestrian evacuation in this paper. The dynamic parameters: Direction-parameter, Empty-parameter and Cognition-parameter are formulated to simplify tactically the decision-making process of pedestrians, which can reflect the pedestrian judgment on the surrounding conditions and decide the pedestrian’s choice of action. Pedestrian moving rules were established, according to two-dimensional cellular automaton. The simulation results of the model are analyzed. It is observed that there is a linear relationship between evacuation time and pedestrian density, however, there is a negative exponential relationship between evacuation time and exit width. The simulation results correspond with the actual, it is instructional significant for pedestrian evacuation.

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.

scholarly journals Pedestrian Evacuation Time Model for Urban Metro Hubs Based on Multiple Video Sequences Data

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Ji-biao Zhou ◽  
Hong Chen ◽  
Jing Yang ◽  
Jiao Yan
Keyword(s):  
Density Variation ◽  
Video Sequences ◽  
Pedestrian Flow ◽  
Time Model ◽  
Evacuation Time ◽  
Safety Coefficient ◽  
Pedestrian Evacuation ◽  
Proposed Model ◽  
Off Time ◽  
Reasonable Model

Evacuation time is a significant safety coefficient for Urban Metro Hubs (UMHs). Usually, a reasonable model for evacuation time will effectively promote the safety for pedestrian when emergency incidents occur in UMHs. In this paper, we propose a pedestrian evacuation time model for UMHs to improve the accuracy and reliability of its evacuation time. Firstly, we design an experiment survey based on the multiple video sequences to analyze the characteristics of pedestrian flow. Then, we decompose the evacuation process on the basis of the parameters, which involve the evacuation characteristics, the speed-density variation law, the pedestrian drop-off time, the platform evacuation time, and the channel evacuation time. Finally, we take the Bei Da-jie metro hub in Xi’an as an example, and verify the feasibility of the proposed pedestrian evacuation time model. The results show that the relative error for the evacuation time between the experiment result and the actual data is only 1.90%, where the experiment time is 169.87 s and the actual time is 166.64 s. Moreover, the proposed model strictly follows the Code for Design of Metro (GB 50157-003) and hence it can provide a good theoretical guidance for innovating the evacuation efficiency and the design reasonability of UMHs.

Exit Choice Behavior of Pedestrians Involving Individuals with Disabilities During Building Evacuations

2018 ◽  
Vol 2672 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Nirdosh Gaire ◽  
Ziqi Song ◽  
Keith M Christensen ◽  
Mohammad Sadra Sharifi ◽  
Anthony Chen
Keyword(s):  
Discrete Choice ◽  
Choice Behavior ◽  
Choice Model ◽  
Stated Preference ◽  
Curve Analysis ◽  
Survey Method ◽  
Visual Disabilities ◽  
Individuals With Disabilities ◽  
Pedestrian Evacuation ◽  
Exit Choice

Pedestrian evacuation studies are critical in obtaining information about evacuation scenarios and in preparing to face the challenges of actual evacuations. Studies have examined evacuation policies, exit choice modeling, and evacuation curve analysis. Some studies have addressed the evacuation behavior of individuals with disabilities (IWDs), although this important aspect of evacuation seems to be missing from modeling of the exit choice in many studies. In modeling of the exit choice for evacuation, many studies have been found to be based on the stated preference survey method, where evacuees are asked to choose an exit based on descriptions, without an actual experiment taking place. This study focuses on the discrete choice model of the exit choice in the room for both IWDs and individuals without disabilities (IWODs). The results demonstrate that the presence of IWDs in the group plays a crucial role in the exit choice for all evacuees. The results demonstrate that there are significant differences in exit choice between IWDs and IWODs. Current evacuation policies have been found to be more focused on visual signs, while this study demonstrates that these visual signs are of little importance to individuals with visual disabilities.

The Influence of Evacuation Signs on Evacuation for Bad Visibility

2014 ◽  
Vol 472 ◽  
pp. 574-578 ◽  
Author(s):  
Hai Tao Chen ◽  
Peng Yang ◽  
Run Cang Yu
Keyword(s):  
Programming Language ◽  
The Novel ◽  
Evacuation Time ◽  
Time Ratio ◽  
Pedestrian Evacuation ◽  
Calculation Results ◽  
Evacuation Model ◽  
Theoretical Results

In emergencies such as fire, pedestrian evacuation for bad visibility is significantly different to the evacuation for normal visibility. In the novel evacuation model, the strategies of pedestrian evacuation and the moving rules are proposed. Then the formulas of the evacuation time are achieved and the time ratio is 0.63. More, using the programming language, pedestrian evacuation is simulated and reproduced. The studies shows that the proposed evacuation model can well reflect the process of pedestrian evacuation; and the evacuation signs of reasonable design can significantly optimize the process. The calculation results also show that the ratio of evacuation time between considering evacuation signs and no evacuation signs is close to 0.63 that is the theoretical results.

scholarly journals LED Wristbands for Cell-Based Crowd Evacuation: An Adaptive Exit-Choice Guidance System Architecture

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6038
Author(s):  
Miguel A. Lopez-Carmona ◽  
Alvaro Paricio-Garcia
Keyword(s):  
System Architecture ◽  
Guidance System ◽  
Great Effort ◽  
Control Logic ◽  
Evacuation Time ◽  
Positioning Systems ◽  
Logic Module ◽  
A Cell ◽  
Crowd Evacuation ◽  
Exit Choice

Cell-based crowd evacuation systems provide adaptive or static exit-choice indications that favor a coordinated group dynamic, improving evacuation time and safety. While a great effort has been made to modeling its control logic by assuming an ideal communication and positioning infrastructure, the architectural dimension and the influence of pedestrian positioning uncertainty have been largely overlooked. In our previous research, a cell-based crowd evacuation system (CellEVAC) was proposed that dynamically allocates exit gates to pedestrians in a cell-based pedestrian positioning infrastructure. This system provides optimal exit-choice indications through color-based indications and a control logic module built upon an optimized discrete-choice model. Here, we investigate how location-aware technologies and wearable devices can be used for a realistic deployment of CellEVAC. We consider a simulated real evacuation scenario (Madrid Arena) and propose a system architecture for CellEVAC that includes: a controller node, a radio-controlled light-emitting diode (LED) wristband subsystem, and a cell-node network equipped with active Radio Frequency Identification (RFID) devices. These subsystems coordinate to provide control, display, and positioning capabilities. We quantitatively study the sensitivity of evacuation time and safety to uncertainty in the positioning system. Results showed that CellEVAC was operational within a limited range of positioning uncertainty. Further analyses revealed that reprogramming the control logic module through a simulation optimization process, simulating the positioning system’s expected uncertainty level, improved the CellEVAC performance in scenarios with poor positioning systems.

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