Characterizing correlations of flow oscillations at bottlenecks

Kretz, Tobias; Woelki, Marko; Schreckenberg, Michael

doi:10.1088/1742-5468/2006/02/p02005

Cited by 26 publications

(18 citation statements)

References 17 publications

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“…This directly implies the need to understand the phenomenons that occur in junction with bottlenecks quite well to build reliable (simulation) models of pedestrian movement. Therefore there has been 1 increasing interest into pedestrian flow through bottlenecks in recent years [9][10][11][12][13][14][15][16][17][18][19]. Often such research has as one aim the construction of models of pedestrian dynamics or to create data or tools to validate such models.…”

Section: Introductionmentioning

confidence: 99%

Experimental study of pedestrian flow through a bottleneck

Kretz¹,

Grünebohm²,

2006

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In this work the results of a bottleneck experiment with pedestrians are presented in the form of total times, fluxes, specific fluxes, and time gaps. A main aim was to find the dependence of these values from the bottleneck width. The results show a linear decline of the specific flux with increasing width as long as only one person at a time can pass, and a constant value for larger bottleneck widths. Differences between small (one person at a time) and wide bottlenecks (two persons at a time) were also found in the distribution of time gaps.

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Section: Introductionmentioning

confidence: 99%

Experimental study of pedestrian flow through a bottleneck

Kretz¹,

Grünebohm²,

2006

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“…For bi-directional pedestrian flow (counterflow) much less data are available [2,3]. Yet there is a number of theoretical analyses [4][5][6][7][8][9][10][11][12][13][14], and the study of counterflow is not limited to pedestrian counterflow, for example counterflow has recently attracted some interest on ant trails [15], the dynamics of motor molecules [16], and basic theoretical investigations [17]. 1 …”

Section: Introductionmentioning

confidence: 99%

Experimental study of pedestrian counterflow in a corridor

et al. 2006

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In this work the results of a pedestrian counterflow experiment in a corridor of a width of 2 meter are presented. 67 participants were divided into two groups with varying relative and absolute size and walked in opposite direction through a corridor. The video footage taken from the experiment was evaluated for passing times, walking speeds, fluxes and lane-formation including symmetry breaking. The results include comparatively large fluxes and speeds as well as a maximal asymmetry between left-and right-hand traffic. The sum of flow and counterflow in any case turns out to be larger than the flow in all situations without counterflow.

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“…Additionally the F.A.S.T. model has been used as an example to study oscillations at narrow bottlenecks [16]. Out of these in the following a detailed report on the evacuation exercise at a primary school shall be given.…”

Section: Equationmentioning

confidence: 99%

F.A.S.T. – Floor Field and Agent Based Simulation Tool

Kretz¹,

Schreckenberg²

2019

Transport Simulation

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In this work a model of pedestrian motion is presented. As application its parameters are fitted to one run in a primary school evacuation exercise. Simulations with these parameters are compared to further runs during the same exercise.In this section a model of pedestrian motion, that is implemented into the F.A.S.T. (Floor field-and Agentbased Simulation Tool), is presented that is microscopic and that to a large extend makes use of so called floor fields (compare [6]) to determine the motion of the agents. The model is discrete in space and time. The agents move on a grid of cells which represent squares of 40•40 cm². The time advances in rounds. Each round is interpreted as one second. Each cell can at maximum be occupied by one single agent.Floor fields fulfil two tasks: 1) Constant floor fields, in a simple way allow to save calculation time, as important values like the distance of a cell to an exit are saved in them. 2) Floor fields that change with time, can be used to transform long-ranged interactions into short-ranged ones. This is a more sophisticated element to save calculation time.The F.A.S.T. model contains three floor fields:

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Characterizing correlations of flow oscillations at bottlenecks

Cited by 26 publications

References 17 publications

Experimental study of pedestrian flow through a bottleneck

Experimental study of pedestrian flow through a bottleneck

Experimental study of pedestrian counterflow in a corridor

F.A.S.T. – Floor Field and Agent Based Simulation Tool

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