A multi-grid model for pedestrian evacuation in a room without visibility

Cao, Shuchao; Song, Weiguo; Lv, Wei; Fang, Zhiming

doi:10.1016/j.physa.2015.05.019

Cited by 85 publications

(33 citation statements)

References 67 publications

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“…In the Figure 7a, the distance the passenger moves is five grids. The moving directions of the multi-grid model [55] are extended and passengers can move towards any free grids in front of them. When there is an obstacle in front of the passenger, the passenger will choose free places to move.…”

Section: The Moving Rangementioning

confidence: 99%

Simulation of Passenger Evacuation Process in Cruise Ships Based on A Multi-Grid Model

Cai

Zhao

2019

Symmetry

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The evacuation of the cruise ship is directly related to the safety of passengers during accidents. The method for avoiding and reducing casualties in accidents has become a research frontier of maritime safety. This paper presents the simulation of a passenger evacuation process using a multi-grid model. In the model, directions of passengers’ movement are extended and the relationship between passengers’ orientation and the walking speed under the inclining condition is also analyzed in detail. Considering the space layout, the attraction of the mainstream crowd and exclusion between individuals, the probability of passengers’ transfer between grids is established. The deck of the cruise ship is taken as the evacuation scenario and four parameters are defined for the scenario according to International Maritime Organization (IMO) guidelines. The process of evacuation in the cruise ship is simulated under upright and inclining conditions. Through the analysis of simulation results, evacuation bottleneck data and the relation between inclined angles and evacuation time are obtained. This work may provide a reference for formulating emergency evacuation plans for cruise ships.

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Section: The Moving Rangementioning

confidence: 99%

Simulation of Passenger Evacuation Process in Cruise Ships Based on A Multi-Grid Model

Cai

Zhao

2019

Symmetry

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“…Based on the discussion above, the time and spatial state of the next stand moment can be generated by the velocity with a wide range from 0 to about 2 m/s. Equations (8), (11) and (12) should first be computed to obtain θ, w and ∆, then we calculate l with ∆ obtained from Eq. (13).…”

Section: Balance Moment Simulatormentioning

confidence: 99%

“…Shapes of the cell are usually square [5][6][7] or hexagonal [8,9]. To make the space in CA more flexible, multigrid models [10,11] are developed by assigning pedestrians in small 3 × 3 grids.…”

Section: Introductionmentioning

confidence: 99%

Simulation of pedestrian single-lane movement by a biped model

2018

Self Cite

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In most existing pedestrian dynamic models, agents are modeled as sliding or jumping objects. As a kind of bipedal creature, however, this assumption makes it difficult to include some important human walking characteristics in the models, such as the periodicity of stepping, the adjustment of step frequency and step length, and the change of personal space within the same step cycle. To take these characteristics into consideration, a "Biped Model" is developed to simulate pedestrian locomotion by physical step rather than by time step. The model consists of two components: the stepping simulator and the adjustment of velocity for each step. Simulation results show that the velocity-density relations are consistent with the empirical data. Stable stop-and-go waves are simulated with a critical density. Furthermore, with the considering of biped movement, the lock-step phenomenon is reproduced. The model provides new possibilities to study crowd behavior while considering personal bipedal mechanics.

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“…Some studies focused on causing and handling of the potential risks [9][10][11][12][13][14][15]. A pedestrian evacuation simulation model based on the extended cellular automata was proposed with the consideration of heterogeneous behavioral tendencies in humans, and the model was applied to optimize buildings to reduce evacuation times [9].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The evacuation process from a room without visibility was investigated by both experiment and modeling. Some typical characteristics of blind evacuation, including the preference of choosing left-hand side direction and following behavior, were found from the experiment [14]. A pedestrian evacuation modeling framework was developed, which used volunteered geographical information from OpenStreetMap and simplified queuing-network model to estimate evacuation time, detect bottlenecks, and test different evacuation strategies [15].…”

Section: Literature Reviewmentioning

confidence: 99%

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

Xie

Qin

2016

Journal of Sensors

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Passenger flow risk forecasting is a vital task for safety management in high-speed railway transport hub. In this paper, we considered the passenger flow risk forecasting problem in high-speed railway transport hub. Based on the surveillance sensor networks, a passenger flow risk forecasting algorithm was developed based on spatial correlation. Computational results showed that the proposed forecasting approach was effective and significant for the high-speed railway transport hub.

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A multi-grid model for pedestrian evacuation in a room without visibility

Cited by 85 publications

References 67 publications

Simulation of Passenger Evacuation Process in Cruise Ships Based on A Multi-Grid Model

Simulation of Passenger Evacuation Process in Cruise Ships Based on A Multi-Grid Model

Simulation of pedestrian single-lane movement by a biped model

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

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