A Comparison of Grid-based and Continuous Space Pedestrian Modelling Software: Analysis of Two UK Train Stations

Castle, Christian J. E.; Waterson, N. P.; Pellissier, E; Bail, S. Le

doi:10.1007/978-1-4419-9725-8_39

Cited by 23 publications

(14 citation statements)

References 6 publications

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“…Consequently, we do not discuss here the changing of the travel time between the waiting boxes and the platform (which, however, increased with the growth of the number of pilgrims in the simulated scenario), but rather different metrics of space utilization. In particular, the first metric is called cumulative mean density (CMD) as discussed by Castle, Waterson, Pellissier, and Bail (2011), a measure associated to a given position of the environment indicating the average density perceived by pedestrians that passed through that point. It is quite straightforward to compute this value in a discrete approach like the one described in this work.…”

Section: Simulation Resultsmentioning

confidence: 99%

An Agent-Based Pedestrian and Group Dynamics Model Applied to Experimental and Real-World Scenarios

Vizzari

Manenti

Ohtsuka

et al. 2014

Journal of Intelligent Transportation Systems

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Pedestrian simulation is a consolidated area of application in which agent-based models are often employed; successful case studies are described in the literature and commercial, off-the-shelf simulators are commonly employed by decision makers and consultancy companies. Most state-of-the-art models, however, generally do not consider the explicit representation of pedestrians aggregations (groups) and their implications on the overall system dynamics. This work is aimed at discussing the relevance and significance of this research effort with respect to the need of empirical data about the implication of the presence of groups of pedestrians in different situations (e.g., changing density, spatial configurations of the environment). The article describes an agent-based model encompassing both traditional individual motivations (i.e., tendency to stay away from other pedestrians while moving toward the goal) and a simplified mechanism considering the cohesion effects related to the presence of groups in the crowd. The model is tested in a simple scenario to evaluate the implications of some modeling choices and the presence of groups in the simulated scenario. Moreover, the model is applied in a real-world scenario characterized by the presence of organized groups as an instrument for crowd management. Results are discussed and compared to experimental observations and to data available in the literature.

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Section: Simulation Resultsmentioning

confidence: 99%

An Agent-Based Pedestrian and Group Dynamics Model Applied to Experimental and Real-World Scenarios

Vizzari

Manenti

Ohtsuka

et al. 2014

Journal of Intelligent Transportation Systems

View full text Add to dashboard Cite

show abstract

“…In particular, some authors (Castle et al, 2011) have compared the use of STEPS (a Cellular Automata model) with LEGION. The authors conclude that both models get good results, however LEGION is more realistic than STEPS because it is based on a continuous movement algorithm rather than grids.…”

Section: Second Stage: Modeling and Mock-up Adjustmentsmentioning

confidence: 99%

Pedestrian traffic management of boarding and alighting in metro stations

Seriani

Fernández

2015

Transportation Research Part C: Emerging Technologies

130

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“…In (Castle et al 2011), CMD evaluation in LEGION b and STEPS c software is analysed and compared: in LEGION, the surrounding of a pedestrian is identified into a radius r = 1.5 m with an area d of Area = r 2 * π = 7.07m 2 . STEPS adopts a similar approach calculating the density in a discrete way using the cells that fall within r = 1.25 m of each persons: the area considered is Area = r 2 = 6.25m 2 .…”

Section: Density Fieldmentioning

confidence: 99%

“…In particular, we adopted a metric is called cumulative mean density (CMD) (Castle et al 2011), a measure associated to a given position of the environment indicating the average density perceived by pedestrians that passed through that point. It is quite straightforward to compute this value in a discrete approach like the one http://www.casmodeling.com/content/1/1/7 Figure 11 Comparison among the level of dispersions for group of six members in corridor A, B and C. described in this work.…”

Section: T-junction Scenariomentioning

confidence: 99%

Adaptive pedestrian behaviour for the preservation of group cohesion

Vizzari

Manenti

Crociani

2013

Complex Adapt Syst Model

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Purpose: A crowd of pedestrians is a complex system in which individuals exhibit conflicting behavioural mechanisms leading to self-organisation phenomena. Computer models for the simulation of crowds represent a consolidated type of application, employed on a day-to-day basis to support designers and decision makers. Most state of the art models, however, generally do not consider the explicit representation of pedestrians aggregations (groups) and their implications on the overall system dynamics. This work is aimed at discussing a research effort systematically exploring the potential implication of the presence of groups of pedestrians in different situations (e.g. changing density, spatial configurations of the environment). Methods: The paper describes an agent-based model encompassing both traditional individual motivations (i.e. tendency to stay away from other pedestrians while moving towards the goal) and an adaptive mechanism representing the influence of group presence in the simulated population. The mechanism is designed to preserve the cohesion of specific types of groups (e.g. families and friends) even in high density and turbulent situations. The model is tested in simplified scenarios to evaluate the implications of modelling choices and the presence of groups. Results: The model produces results in tune with available evidences from the literature, both from the perspective of pedestrian flows and space utilisation, in scenarios not comprising groups; when groups are present, the model is able to preserve their cohesion even in challenging situations (i.e. high density, presence of a counterflow), and it produces interesting results in high density situations that call for further observations and experiments to gather empirical data. Conclusions: The introduced adaptive model for group cohesion is effective in qualitatively reproducing group related phenomena and it stimulates further research efforts aimed at gathering empirical evidences, on one hand, and modelling efforts aimed at reproducing additional related phenomena (e.g. leader-follower movement patterns).

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A Comparison of Grid-based and Continuous Space Pedestrian Modelling Software: Analysis of Two UK Train Stations

Cited by 23 publications

References 6 publications

An Agent-Based Pedestrian and Group Dynamics Model Applied to Experimental and Real-World Scenarios

An Agent-Based Pedestrian and Group Dynamics Model Applied to Experimental and Real-World Scenarios

Pedestrian traffic management of boarding and alighting in metro stations

Adaptive pedestrian behaviour for the preservation of group cohesion

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