Cellular Model of Pedestrian Dynamics with Adaptive Time Span

Bukáček, Marek; Hrabák, Pavel; Krbálek, Milan

doi:10.1007/978-3-642-55195-6_63

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…Related studies have been presented in [3] and [4]. In this article improved method for automatic pedestrian detection is presented, which enables better and more reliable recording of microscopic quantities as travel time through the room or pedestrian velocity.…”

Section: Introductionmentioning

confidence: 99%

“…In this article the results of time-headway evolution at the exit have been compared with the experiment E4. Experiments E2 and E3 focused mainly on fundamental diagram evaluation; the phase transitions were evaluated from the macroscopic point of view mainly, i.e., the creation of the stable cluster or growing congestion has been observed, for detail see [3] or [4]. The experiment E4 was designed better to capture the phase transition by the change of the travel time through the room as well.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental Study of Phase Transition in Pedestrian Flow

Bukáček

Hrabák

Krbálek

2014

Transportation Research Procedia

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The transition between low and high density phases is a typical feature of systems with social interactions. This contribution focuses on simple evacuation design of one room with one entrance and one exit; four passing-through experiments were organized and evaluated by means of automatic image processing. The phase of the system, determined by travel time and occupancy, is evaluated with respect to the inflow, a controlled boundary condition. Critical values of inflow and outflow were described with respect to the transition from low density to congested state. Moreover, microscopic analysis of travel time is provided.Comment: To appear in proceedings of Pedestrian and Evacuation Dynamics 2014, Transportation Research Procedia, Elsevie

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Study of Phase Transition in Pedestrian Flow

Bukáček

Hrabák

Krbálek

2014

Transportation Research Procedia

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“…Moreover, in this model, the authors defined a different movement speed for each pedestrian -driven by its movement frequency. A similar idea of adaptive time span in CA models was presented by Bukáček et al in [24], together with the concept of bonds -which enables a selection of an occupied cell as a possible target. This model was used by the authors during a discussion on phase transitions in cellular models [23].…”

Section: Current Trends In Ca-based Crowd Modelsmentioning

confidence: 95%

Agent-based Approach and Cellular Automata --- a Promising Perspective in Crowd Dynamics Modeling?

Wăs¹,

Porzycki²,

Lubaś³

et al. 2016

Acta Phys. Pol. B Proc. Suppl.

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The paper presents recent trends in the area of Cellular Automata (CA) originated microscopic models of crowd. There are many interesting applications of CA-based models, which incorporate different definitions of floor fields, grouping behavior, building complex scenarios, parallelisation of computing processes, as well as the development of validation and verification tests. Thus, due to the observed rapid development of discrete crowd simulation models, they become a real alternative to force-based ones. It is especially visible in a new kind of crowd-model application, where simulation is required to cooperate with different sensors in real-time regime.

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“…The model used for this study comes out from the Floor-Field cellular model with several modifications introduced in [10,9] and studied in more detail in [13] extended by the aggressiveness element [1]. The playground of the model is represented by the rectangular two-dimensional lattice L ⊂ Z 2 consisting of cells x = (x 1 , x 2 ).…”

Section: Model Definitionmentioning

confidence: 99%

“…The presented cellular model is based on the Floor-Field Model [6,7,8] with adaptive time-span [9] and principle of bonds [10]. The adaptive time span enables to model heterogeneous stepping velocity of pedestrians; the principle of bonds helps to mimic collective behaviour of pedestrians in lines.…”

Section: Introductionmentioning

confidence: 99%

Influence of agents heterogeneity in cellular model of evacuation

Hrabák¹,

Bukáček²

2017

Journal of Computational Science

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The influence of agents heterogeneity on the microscopic characteristics of pedestrian flow is studied via an evacuation simulation tool based on the Floor-Field model. The heterogeneity is introduced in agents velocity, aggressiveness, and sensitivity to occupation. The simulation results are compared to data gathered during an original experiment. The comparison shows that the heterogeneity in aggressiveness and sensitivity occupation enables to reproduce some microscopic aspects. The heterogeneity in velocity seems to be redundant.

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Cellular Model of Pedestrian Dynamics with Adaptive Time Span

Cited by 7 publications

References 8 publications

Experimental Study of Phase Transition in Pedestrian Flow

Experimental Study of Phase Transition in Pedestrian Flow

Agent-based Approach and Cellular Automata --- a Promising Perspective in Crowd Dynamics Modeling?

Influence of agents heterogeneity in cellular model of evacuation

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