Queueing behaviors at exit in cellular automaton model with S-queue

2019 ◽  
Vol 33 (08) ◽  
pp. 1950064 ◽  
Author(s):  
Di Zhou ◽  
Jun Hu ◽  
Xiaoling Gao ◽  
Zhongyu Li ◽  
Juan Wei ◽  
...  
Keyword(s):  
Queue Length ◽  
Simulation Analysis ◽  
Interior Space ◽  
Evacuation Time ◽  
Pedestrian Evacuation ◽  
Evacuation Strategy ◽  
Crowd Density ◽  
Floor Field ◽  
Queue Theory ◽  
The Relationship

In order to effectively depict the queuing state of pedestrians at the exit of interior space, a new pedestrian evacuation model is proposed based on cellular automation and S-queue. This model firstly defines the calculation equation of the pedestrian movement probability based on the floor field and queue length, and derives the calculation equation of queue length according to the S-queue theory. Finally, pedestrians are organized for real evacuation in the interior space, and an experimental platform is constructed for simulation analysis according to the real environment, and the relationship between parameters, e.g., exit width, evacuation time, queue length, evacuation velocity and pedestrian density, etc. are studied in depth. The results show that the evacuation strategy that emphasizes the queuing effect helps to reduce the number of pedestrian in queue, especially when the crowd density is larger, such strategy can effectively reduce the evacuation time.

scholarly journals Potential Field Cellular Automata Model for Pedestrian Evacuation in a Domain with a Ramp

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xiao-Xia Jian ◽  
Xiaoning Zhang
Keyword(s):  
Cellular Automata ◽  
Potential Field ◽  
Empty Space ◽  
Domino Effect ◽  
Cellular Automata Model ◽  
Pedestrian Evacuation ◽  
Crowd Density ◽  
Proposed Model ◽  
The Cost ◽  
The Relationship

We propose a potential field cellular automata model with a pushing force field to simulate the pedestrian evacuation in a domain with a ramp. We construct a cost potential depending on the ramp angle and introduce a function to evaluate the pushing force, which is related to the cost and the desired direction of pedestrian. With increase of crowd density, there is no empty space for pedestrian moving forward; pedestrian will purposefully push another pedestrian on her or his desired location to arrive the destination quickly. We analyse the relationship between the slope of ramp and the pushing force and investigate the changing of injured situations with the changing of the slope of ramp. When the number of pedestrians and the ramp angle arrive at certain critical points, the Domino effect will be simulated by this proposed model.

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.

Simulation study of crowd dynamics in pedestrian evacuation concerning panic contagion: A cellular automaton approach

2022 ◽  
Author(s):  
Guan-ning Wang ◽  
Tao Chen ◽  
Jin-wei Chen ◽  
Kaifeng Deng ◽  
Ru-dong Wang
Keyword(s):  
Decision Making ◽  
Cellular Automaton ◽  
Decision Making Process ◽  
Pedestrian Dynamics ◽  
Pedestrian Evacuation ◽  
Crowd Density ◽  
Floor Field ◽  
Set Up ◽  
The Impact ◽  
Transmission Status

Abstract The study of the panic evacuation process is of great significance to emergency management. Panic not only causes negative emotions such as irritability and anxiety, but also affects the pedestrians decision-making process, thereby inducing the abnormal crowd behavior. Prompted by the epidemiological SIR model, an extended floor field cellular automaton model was proposed to investigate the pedestrian dynamics under the threat of hazard resulting from the panic contagion. In the model, the conception of panic transmission status (PTS) was put forward to describe pedestrians' behavior who could transmit panic emotions to others. The model also indicated the pedestrian movement was governed by the static and hazard threat floor field. Then rules that panic could influence decision-making process were set up based on the floor field theory. The simulation results show that the stronger the pedestrian panic, the more sensitive pedestrians are to hazards, and the less able to rationally find safe exits. However, when the crowd density is high, the panic contagion has a less impact on the evacuation process of pedestrians. It is also found that when the hazard position is closer to the exit, the panic will propagate for a longer time and have a greater impact on the evacuation. The results also suggest that as the extent of pedestrian's familiarity with the environment increases, pedestrians spend less time to escape from the room and are less sensitive to the hazard. In addition, it is essential to point out that, compared with the impact of panic contagion, the pedestrian's familiarity with environment has a more significant influence on the evacuation.

A novel crowd flow model based on linear fractional stable motion

2016 ◽  
Vol 30 (09) ◽  
pp. 1650049 ◽  
Author(s):  
Juan Wei ◽  
Hong Zhang ◽  
Zhenya Wu ◽  
Junlin He ◽  
Yangyong Guo
Keyword(s):  
Flow Rate ◽  
Flow Model ◽  
Threshold Value ◽  
Evacuation Time ◽  
Indoor Space ◽  
Stable Motion ◽  
Crowd Density ◽  
Linear Fractional Stable Motion ◽  
Positive Correlations ◽  
Fractional Stable Motion

For the evacuation dynamics in indoor space, a novel crowd flow model is put forward based on Linear Fractional Stable Motion. Based on position attraction and queuing time, the calculation formula of movement probability is defined and the queuing time is depicted according to linear fractal stable movement. At last, an experiment and simulation platform can be used for performance analysis, studying deeply the relation among system evacuation time, crowd density and exit flow rate. It is concluded that the evacuation time and the exit flow rate have positive correlations with the crowd density, and when the exit width reaches to the threshold value, it will not effectively decrease the evacuation time by further increasing the exit width.

Influence Parameters Analysis of Forming Quality and System Dynamics Simulation of Vertical Steel Bar Benting

2013 ◽  
Vol 483 ◽  
pp. 280-284
Author(s):  
Xi Jian Zheng ◽  
Xin Zhuo Wang ◽  
Jin Meng Zhang ◽  
Yu Fei Zhu
Keyword(s):  
Simulation Analysis ◽  
Reference Value ◽  
Dynamics Simulation ◽  
Forming Quality ◽  
Steel Bar ◽  
New Process ◽  
Cutting Length ◽  
Bending Radius ◽  
The Relationship

The vertical steel bar bending forming is a kind of new process of bending method. The bending speed, bending radius and clamping length H which is the parameters of vertical steel bar bending machine , is directly affect the quality of bending forming parts. This paper calculated the length of reinforcement before being incised and the springback angle of bending steel bar which obtained the reasonable cutting length and bending Angle; Then based on rigid-flexible virtual prototype technology to build the dynamics model of vertical steel bar bending system. Through simulation analysis ,it obtained the relationship between bending speed, bending radius , clamping length H and forming quality of bending steel bar. In this paper, the analysis method have reference value to the design of similar steel bar bending machines.

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 Simulation of queue length on Amplas Entrance Toll before and after the ramp off development with Vissim software

2018 ◽  
Vol 181 ◽  
pp. 07002 ◽  
Author(s):  
Medis Surbakti ◽  
Tadeus Satria
Keyword(s):  
Service Time ◽  
Queue Length ◽  
Theory Method ◽  
City Administration ◽  
Software Models ◽  
Research Site ◽  
Before And After ◽  
Queue Theory ◽  
Toll Booth

In 2016 Medan City administration built on off ramp at Amplas fly over, where this ramp off directly to toll booth Amplas. The faster the time needs to get to the toll booth enables the rate of arrival vehicles that impact with increasing queue length. The purpose of this study is to know the length of the queue at Amplas toll booth before and after ramp off construction with queue theory method and vissim softwaremodelings. Data acquired by recording the activities at the research site in the form of vehicles volume. The queue length obtained from the queue method with average service time 7 seconds is 6,212 meter while the result using VISSIM software is 11,988 meter. From the VISSIM software models also obtained that the length of queue after the construction of the ramp off increases compared before the construction of ramp off, from 6,67 meter to 11,988 metre.

scholarly journals Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hui Teng ◽  
Yukun Ma ◽  
Di Teng
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Association Rules ◽  
Association Rule ◽  
Simulation Analysis ◽  
Pharmaceutical Research ◽  
Accurate Analysis ◽  
Systematic Analysis ◽  
Relationship Of ◽  
The Relationship

Studying drug relationships can provide deeper information for the construction and maintenance of biomedical databases and provide more important references for disease treatment and drug development. The research model has expanded from the previous focus on a certain drug to the systematic analysis of the pharmaceutical network formed between drugs. Network model is suitable for the study of the nonlinear relationship of the pharmaceutical relationship by modeling the data learning. Association rule mining is used to find the potential correlations between the various sets of massive data. Therefore, based on the network model, this research proposed an algorithm for drug interaction under improved association rules, which achieved accurate analysis and decision-making of drug relationship. Meanwhile, this research applied the established association rule algorithm to discuss the relationship between Chinese medicine and mental illness medicine and conducted the algorithm research and simulation analysis of the association relationship. The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. It had reliability and superiority in decision-making in improving the drug-drug relationship. It also promoted the rational use of medicines and played a guiding role in pharmaceutical research. This provides scientific research personnel with research basis and research ideas for disease-related diagnosis.

scholarly journals Decomposition of M/M/1 With Unreliable Service and a Working Vacation

2020 ◽  
Vol 9 (1) ◽  
pp. 63
Author(s):  
Joshua Patterson ◽  
Andrzej Korzeniowski
Keyword(s):  
Closed Form ◽  
Failure Rate ◽  
Waiting Time ◽  
Queue Length ◽  
Service Failure ◽  
Working Vacation ◽  
Stationary Queue Length ◽  
Stationary Waiting Time ◽  
Relationship Of ◽  
The Relationship

We use the stationary distribution for the M/M/1 with Unreliable Service and aWorking Vacation (M/M/1/US/WV) given explicitly in (Patterson & Korzeniowski, 2019) to find a decomposition of the stationary queue length N. By applying the distributional form of Little's Law the Laplace-tieltjes Transform of the stationary customer waiting time W is derived. The closed form of the expected value and variance for both N and W is found and the relationship of the expected stationary waiting time as a function of the service failure rate is determined.

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