Simulation study of pedestrian flow in a station hall during the Spring Festival travel rush

Wang, Lei; Zhang, Qian; Cai, Yun; Zhang, Jianlin; Ma, Qiang

doi:10.1016/j.physa.2013.01.044

Cited by 43 publications

(27 citation statements)

References 18 publications

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“…Duduta and Subedi [25] studied passenger overcrowding in a bus rapid transit station and obtained a pedestrian capacity range for a BRT station and the quantitative impacts of friction between pedestrians entering and leaving the station. However, the scenarios in [21][22][23][24][25] are not the HSR station, so the studies [21][22][23][24][25] cannot be used to study the pedestrian flow at HSR station. In fact, HSR stations and the scenarios in [21][22][23][24][25] have some common characteristics (e.g., the boarding behavior, congestion), so the studies [21][22][23][24][25] can be extended to explore the pedestrian flow at HSR station.…”

Section: Beforehand Allocatedmentioning

confidence: 99%

“…Ten horizontal lines occur, which shows that each passenger's initial position is within [12,21] and that most passengers straightly move ahead to avoid the congestion near each entrance. During the early stage of the boarding process, when the passengers enter the platform from A or B, some passengers are pushed to the positions whose -values are larger than 21, but their -values will finally be 1.…”

Section: Simulationmentioning

confidence: 99%

“…In fact, few researchers studied the pedestrian flow at the HSR stations, but some models were proposed to study the pedestrian flow at the conventional railway station and metro station. For example, Wang et al [21] simulated the pedestrian flow in the hall of conventional railway station during the Spring Festival travel rush and found that casualties happened when passengers escaped from panic induced by crowd turbulence and that the number of passengers, the ticket checking patterns, the baggage volumes, and the passengers' anxiety can all affect the speed of passing through the waiting corridor. Jiang et al [22] used the software building EXODUS and field observation to explore the crowding at a platform staircase of a subway station in China and found that the simulation software can be applied to assess the flow rate and the evacuation capacity of public places by adjusting the staircase width and the maximum upstairs walking speed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

Tang

Shao

Chen

et al. 2017

Journal of Advanced Transportation

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Modeling passengers' motion at high speed railway (HSR) station has been a hot topic in the field of pedestrian flow theory. However, little effort has been made to explore the passengers' boarding behaviors at the platform of HSR station. This study proposes a cellular automaton (CA) model to study the passengers' boarding behavior at the platform of HSR station. Some numerical tests are conducted to explore the passengers' movements and the complex traffic phenomena (e.g., each passenger's trajectory, congestion, and travel time) which occur during the boarding process. The numerical results illustrate that the passengers' inflow rate and entrance choice behavior have significant impacts on the boarding efficiency. These results can help managers to understand the passengers' boarding behavior and to improve the boarding efficiency.

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Section: Beforehand Allocatedmentioning

confidence: 99%

Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

Tang

Shao

Chen

et al. 2017

Journal of Advanced Transportation

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“…One of these models, the social force model (SFM) was introduced two decades ago by Helbing and Molnár [1], and has since then been frequently investigated in the literature, see e.g. [2][3][4][5][6][7][8][9][10][11], and is also implemented in commercial software [12]. It should be noted that the SFM is only one of a large class of force based models of pedestrian dynamics with a history ranging as far back as the work by [13].…”

Section: Introductionmentioning

confidence: 99%

Waiting pedestrians in the social force model

Johansson

Peterson

Tapani

2015

Physica A: Statistical Mechanics and its Applications

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Microscopic simulation of pedestrian traffic is an important and increasingly popular method to evaluate the performance of existing or proposed infrastructure. The social force model is a common model in simulations, describing the dynamics of pedestrian crowds given the goals of the simulated pedestrians encoded as their preferred velocities.The main focus of the literature has so far been how to choose the preferred velocities to produce realistic dynamic route choices for pedestrians moving through congested infrastructure. However, limited attention has been given the problem of choosing the preferred velocity to produce other behaviors, such as waiting, commonly occurring at, e.g., public transport interchange stations.We hypothesize that: 1) the inclusion of waiting pedestrians in a simulated scenario will significantly affect the level of service for passing pedestrians, and 2) the details of the waiting model affect the predicted level of service, that is, it is important to choose an appropriate model of waiting.We show that the treatment of waiting pedestrians have a significant impact on simulations of pedestrian traffic. We do this by introducing a series of extensions to the social force model to produce waiting behavior, and provide predictions of the model extensions that highlight their differences. We also present a sensitivity analysis and provide sufficient criteria for stability.

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“…[19] By modified social force model was used to simulate the pedestrian flow in a station hall. Obtained results suggest that passenger numbers, ticket checking patterns, baggage volumes, and anxiety can affect the speed of passing through the waiting corridor.…”

Section: Introductionmentioning

confidence: 99%

Simulation study on evacuation from buildings

Kosiński

Grabowski

2013

2013 IEEE 14th International Conference on Information Reuse &Amp; Integration (IRI)

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In the paper the results of simulation study on evacuation from building using intelligent agents system and experiment during drill evacuation from a building are presented. Each agent uses movement strategies based on algorithms integrating data coming from many different sources, eg. Langevin equation with the social force term describing agents mental component are used. In numerical simulations it is possible to observe the trajectories of agents. Reuse of information obtained by different agents decreases computation time.

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Simulation study of pedestrian flow in a station hall during the Spring Festival travel rush

Cited by 43 publications

References 18 publications

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

Waiting pedestrians in the social force model

Simulation study on evacuation from buildings

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