Menge: A Modular Framework for Simulating Crowd Movement

Curtis, Sean; Best, Andrew; Manocha, Dinesh

doi:10.17815/cd.2016.1

Cited by 123 publications

(69 citation statements)

References 64 publications

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“…When the user focuses on a smaller region, the system adopt a detailed and more realistic movement control for pedestrians in that region. Curtis et al [2016] propose a modular framework in which the whole problem is decomposed into subproblems, that can be solved in separate modules using different techniques or models.…”

Section: Scaling In Number Of Individualsmentioning

confidence: 99%

Modeling, Evaluation, and Scale on Artificial Pedestrians

et al. 2017

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Modeling pedestrian dynamics and their implementation in a computer are challenging and important issues in the knowledge areas of transportation and computer simulation. The aim of this paper is to provide a bibliographic outlook so that the reader could have a quick access to the most relevant works related with this problem. We have used three main axes to organise the paper contents: pedestrian models, validation techniques and multiscale approaches. The backbone of the paper is the classification of existing pedestrian models; we have organised the works in the literature under five categories, according to the techniques used for implementing the operational level in each pedestrian model. Then, the main existing validation methods, oriented to evaluate the behavioural quality of the simulation systems, are reviewed. Furthermore, we review the key issues that arise when facing multiscale pedestrian modeling, where we firstly focus on the behavioural scale (combinations of micro and macro pedestrian models) and secondly, on the scale size (from individuals to crowds). The paper begins introducing the main characteristics of walking dynamics and its analysis tools and concludes with a discussion about the contributions that different knowledge fields can do in a near future to this exciting area.

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Section: Scaling In Number Of Individualsmentioning

confidence: 99%

Modeling, Evaluation, and Scale on Artificial Pedestrians

et al. 2017

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“…In general, there is no doubt about the great relevance of this measure, specially for avoid the occurrence of flashover (what did not happen at Boate Kiss). However, unfortunately, the speed of the spreading of the toxic smoke was so intense that it can not be said that this measure alone would be able to avoid the whole tragedy 26 .…”

Section: Discussionmentioning

confidence: 99%

“…Some discrepancies between the results of simulations can occur depending on the methodology/model employed, even in simple environments [21,25]. However, more and more the crowd simulation will be use to help to find solutions to many problems in several areas, such as computer graphics, animation, pedestrian dynamics, robotics, among others [26]. Specifically for Boate Kiss, some preliminary simulations of the evacuation have already been done 3 , but many questions are still open to debate.…”

Section: Introductionmentioning

confidence: 99%

On the Boate Kiss Fire and the Brazilian Safety Legislation - What we can learn

Moita

2017

Coll Dyn

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Brazil was recently the scenario of a great tragedy in the fire at Kiss nightclub, where 242 people were killed. The starting point of the fire was the use of a pyrotechnic device over an acoustic coating made of polyurethane foam. The causalities were caused mainly by asphyxia and inhalation of toxic gases in a very fast smoke expansion. However, several additional causes contributed to the amount of damage and human losses. The accident investigations emphasized the necessity to discuss details in the applicable Brazilian legislation. In this work, the tragedy of Kiss nightclub is presented and the some of their main aspects discussed. The Brazilian standard (ABNT NBR 9077) to determine the dimension of the emergency exits is also presented. It was found that, in spite of the configurations of Kiss nightclub have had a fundamental role in tragedy, the current Brazilian standard was not appropriate for the design of such an environment and should not have been used. Moreover, clear and more rigorous standards also need to be further discussed, particularly for non-adaptive situations. At the end, some considerations are made in order to improve the general fire prevention standards about dimensioning of emergency exits.

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“…We have shown experimentally that our method improves over existing methods by generating more coherent and socially-friendly walking behavior. Furthermore, our method runs at interactive rates for large numbers of agents, and it can be integrated into any existing crowd simulation framework that supports global path planning, local path following and micro-behavior in separate steps [Curtis et al 2014;van Toll et al 2015]. SGN is thus well-suited for gaming and simulation applications that require believable and efficient group behavior for virtual pedestrians.…”

Section: Discussionmentioning

confidence: 99%

“…SGN can be easily integrated into existing crowd simulation frameworks that independently support global planning, route following and local behavior such as collision avoidance, e.g. [Curtis et al 2014;van Toll et al 2015].…”

Section: Introductionmentioning

confidence: 99%

Adding sociality to virtual pedestrian groups

Jaklin

Kremyzas

Gerærts

2015

Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology

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We present a new method, Social Groups and Navigation (SGN), to simulate the walking behavior of small pedestrian groups in virtual environments. SGN is the first method to simulate group behavior on both global and local levels. We define quantitative metrics to measure the coherence and the sociality of a group based on existing empirical data of real crowds. SGN is designed to let groups stay in coherent and social formations without explicitly modeling such formations. For groups of four, SGN generates between 13% and 53% more socially-friendly behavior than existing methods, measured over the lifetime of a group in the simulation. For groups of three, the gain is between 15% and 31%, and for groups of two, the gain is between 1% and 4%. SGN can be used with any existing global path planner and any existing path following method. Experiments show that SGN enables the simulation of thousands of agents in real time. Due to its flexible design, it can be easily integrated into a larger crowd simulation framework.

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Menge: A Modular Framework for Simulating Crowd Movement

Cited by 123 publications

References 64 publications

Modeling, Evaluation, and Scale on Artificial Pedestrians

Modeling, Evaluation, and Scale on Artificial Pedestrians

On the Boate Kiss Fire and the Brazilian Safety Legislation - What we can learn

Adding sociality to virtual pedestrian groups

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