Physics of Human Crowds

Corbetta, Alessandro; Toschi, Federico

doi:10.1146/annurev-conmatphys-031620-100450

Cited by 17 publications

(6 citation statements)

References 103 publications

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“…Since the early 2000s, pedestrian kinematics has been extensively investigated experimentally [3,4], and the motion of pedestrians walking along straight paths has been thoroughly analyzed and modeled (e.g., Refs. [2,[5][6][7]).…”

Section: Introductionmentioning

confidence: 99%

“…Understanding the kinematics of pedestrians is part of a challenging and broad multidisciplinary scientific effort with outstanding societal importance due to implications in crowd management [4] and urban design [12] and sharing deep fundamental challenges connected with active flowing matter and statistical physics [3,13]. One of the main obstacles in fully understanding crowd flows is the inherent technical challenge of obtaining measurements with sufficient spatiotemporal accuracy and statistical resolution, fully capturing the large variability and complexity of pedestrian kinematics.…”

Section: Introductionmentioning

confidence: 99%

“…Key have been three-dimensional computer vision approaches based on stereoscopic vision or LiDar-like approaches [18,19]. Data acquisition with a 24/7 schedule in public locations has enabled the collection of highly resolved, high statistics datasets (millions of trajectories), allowing statistical analyses up to rare events and opening new possibilities of model validation [3,[20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stochastic fluctuations of diluted pedestrian dynamics along curved paths

van der Vleuten,

Toschi,

Schilders

et al. 2024

Phys. Rev. E

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stochastic fluctuations of diluted pedestrian dynamics along curved paths

van der Vleuten,

Toschi,

Schilders

et al. 2024

Phys. Rev. E

Self Cite

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“…Such models have yielded good results when used in tandem with path-finding algorithms to navigate autonomous agents 53 . More recent research has delved into the specific scenario of pairwise avoidance during face-to-face encounters among pedestrians, using real-life trajectory data 26,27,54 . They measured the deviation of pedestrians from their expected undisturbed trajectories when encoutering others (1vs1 and 1vsN scenarios) and compared the results to a Langevin-like physics model.…”

Section: Introductionmentioning

confidence: 99%

Social aspects of collision avoidance: A detailed analysis of groups and individual pedestrians

Gregorj

Yücel

Zanlungo

et al. 2023

Preprint

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Pedestrian groups are commonly found in crowds but research on their social aspects is comparatively lacking. To fill that void in literature, we study the dynamics of collision avoidance between pedestrian groups (in particular dyads) and individual pedestrians in an ecological environment, focusing in particular on (i) how such avoidance depends on the group's social relation (e.g. colleagues, couples, friends or families) and (ii) its intensity of social interaction (indicated by conversation, gaze exchange, gestures etc). By analyzing relative collision avoidance in the "center of mass" frame, we were able to quantify how much groups and individuals avoid each other with respect to the aforementioned properties of the group. A mathematical representation using a potential energy function is proposed to model avoidance and it is shown to provide a fair approximation to the empirical observations. We also studied the probability that the individuals disrupt the group by "passing through it" (termed as intrusion). We analyzed the dependence of the parameters of the avoidance model and of the probability of intrusion on groups' social relation and intensity of interaction. We confirmed that the stronger social bonding or interaction intensity is, the more prominent collision avoidance turns out. We also confirmed that the probability of intrusion is a decreasing function of interaction intensity and strength of social bonding. Our results suggest that such variability should be accounted for in models and crowd management in general. Namely, public spaces with strongly bonded groups (e.g. a family-oriented amusement park) require a different approach compared to public spaces with loosely bonded groups (e.g. a business-oriented trade fair).

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“…For an overview the reader is referred to the biannual conference series [1,2], the reviews on the topic, e.g. [3][4][5] and the glossary on human crowd dynamic research [6]. While most studies are focused on pedestrians walking through, e.g.…”

Section: Introductionmentioning

confidence: 99%

Waiting in crowded places: influence of number of pedestrians, waiting time and obstacles

Küpper,

Seyfried

2023

J. R. Soc. Interface.

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At crowded places, like railway platforms at rush hour, the spatial distribution of waiting pedestrians has a significant influence on performance and level of comfort. However, the choice of waiting places and the resulting spatial distribution of the crowd have rarely been studied. This study investigates the effects of obstacles, number of passengers and waiting time on the distribution of waiting passengers. Laboratory experiments were performed using a mock-up platform with three set-ups: without obstacles, with a narrow and a wide obstacle. Density profiles determine preferred waiting places. While the space usage by waiting passengers is inhomogeneous, the distances between the individuals show surprisingly small variations, regardless of obstacles and number of passengers. This suggests a robust collective optimization of the crowd when searching for waiting positions. In doing so, and without necessity, the participants chose distances to each other extending into the personal zone specified in classical personal-space-concepts. These results indicate necessary refinements of the concept by considering context and collective behaviour. The findings are transformed into floor-fields modelling the space usage by a superposition of attractive or repulsive areas which consider optimization of distances and comfort. This model does not only reproduce the waiting places at platforms but can be adapted for other use cases.

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Physics of Human Crowds

Cited by 17 publications

References 103 publications

Stochastic fluctuations of diluted pedestrian dynamics along curved paths

Stochastic fluctuations of diluted pedestrian dynamics along curved paths

Social aspects of collision avoidance: A detailed analysis of groups and individual pedestrians

Waiting in crowded places: influence of number of pedestrians, waiting time and obstacles

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