Real-time micro-modelling of city evacuations

Löhner, Rainald; Haug, E.; Zinggerling, Claudio; Oñate, Eugenio

doi:10.1007/s40571-016-0154-z

Cited by 5 publications

(4 citation statements)

References 32 publications

(35 reference statements)

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“…This applies when the simulation represents a physical space, which can be decomposed into subspaces from top-down approaches (e.g., QuadTree in 2D or KD-Tree in 3D) or bottom-up approaches (e.g., RegionGrowth [Steed and Abou-Haidar, 2003]). This is applicable to situations such as simulating mobility, for instance pedestrian movements in a city and other forms of crowd management [Löhner et al, 2018]. Indeed, pedestrian movements are driven by spatial information (e.g., cannot go through a wall) and agents in the near-vicinity (e.g., to avoid bumping into people).…”

Section: Creating and Accelerating An Abmmentioning

confidence: 99%

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Scardua,

Fennimore

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Agent-Based Models (ABMs) have long served to study self-adaptive systems and the emergence of population-wide patterns from simple rules applied to individuals. Recently, the rules for each agent have been expressed using a Fuzzy Cognitive Map (FCM), which is elicited from a subject-matter expert. This provides a transparent and participatory process to externalize the 'mental model' of an expert and directly embed it into agents. However, software technology has been lacking to support such hybrid ABM/FCM models at scale, which has drastically limited the scope of applications and the ability of researchers to study emergent phenomena over large populations. In this paper, we designed and implemented the first open-source library that automatically accelerates ABM/FCM models by leveraging the CUDA cores available in a Graphical Processing Unit. We demonstrate the correctness and scaling of our library on a case study as well as across different networks representing agent interactions.

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Section: Creating and Accelerating An Abmmentioning

confidence: 99%

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Scardua,

Fennimore

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Both models were implemented into PEDFLOW [1][2][3], a typical pedestrian flow and crowd dynamics simulation tool based on a mix of social force and agent-based approaches. In order to discern the relative merit and performance of the two models, the Mataf motion was computed with the maximum number of simplifying assumptions that still reflect reality.…”

Section: Examplesmentioning

confidence: 99%

Social Force Modeling of the Pedestrian Motion in the Mataf

Löhner

Haug²,

Britto³

2020

Coll Dyn

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Two models for the motion in the Mataf of the Holy Mosque of Makkah that are applicable to any so-called social force or agent-based model are presented. The first model assigns a desired distance to the Kaaba to each pilgrim. The second model assumes that pilgrims desire to get as close as possible to the Kaaba until a tolerable density is reached. Both models are realistic: image data shows behaviours of both types. The models are very simple to incorporate into any computational crowd dynamics code, and yield results that correlate surprisingly well with observed data.

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“…Most modern stadia have a limited number of exits used for normal operations (in addition to emergency exits which may be opened in case of accidents) and different areas separating fans and people holding different classes of tickets. If layout of the stadium is known along with the number of people in each section, egress simulations can be conducted in a short time using modern simulation models and computing power [26,[33][34][35]. Also, for modern facilities, attendance can be estimated well in advance based on ticket sales.…”

Section: The Double Room Casementioning

confidence: 99%

A system for efficient egress scheduling during mass events and small-scale experimental demonstration

et al. 2020

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Improvements in the design of pedestrian facilities have reduced the frequency of crowd accidents, and safety is now generally ensured in well-planned crowd events. However, congestion and inefficient use of infrastructures still remain an issue. To guarantee comfort and reduce close contacts between people, there are circumstances when crowd density may have to be reduced well below safety limits. Although research has given a lot of attention to extreme scenarios, methods to improve non-critical conditions have been little explored. In addition, crowd sensing technology is still mostly used for data collection and direct use on crowd management is rare. In this work, we present a system aimed at computing optimal egress time for groups of people leaving a complex facility. We show that, if egress starting time is accurately computed for each group based on actual crowd conditions, density can be greatly reduced without having a large effect on the total egress time of the whole crowd. To show the efficacy of such a system, a small-scale experiment is conducted where all components are tested in a simple scenario. As a result, an increase in total egress time by only 5% allowed to reduce maximum density by 35%.

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Real-time micro-modelling of city evacuations

Cited by 5 publications

References 32 publications

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Social Force Modeling of the Pedestrian Motion in the Mataf

A system for efficient egress scheduling during mass events and small-scale experimental demonstration

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