Crowd simulation using DC model and density information

He, Wenhao; Chen, Jim X.; Zhang, Weihua

doi:10.1007/s11042-015-2561-1

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…we obtain the negative correlation between crowd density and average velocity during the evacuation process through a study of the influence of crowd density on walking velocity and step length. The influence of density [42] on movement velocity during crowd evacuation under actual situation was calculated through a test.…”

Section: B Relationship Between Crowd Density and Velocitymentioning

confidence: 99%

Diversified Crowd Evacuation Method in Large Public Places

Liu¹,

Lyu

2019

IEEE Access

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Realistic crowd simulation is an important issue for crowd management, public space design, and architectural and urban planning. In this paper, we present a novel approach for planning and directing heterogeneous large-scale crowd in public places. We firstly extract group features from real-world video, and transfer them to the virtual crowd members. On this basis, we perform the crowd evacuation by combining the global path planning and collide avoidance strategy. Our method efficiently produces the most promising paths in both time and space and offers a reasonable distribution of the crowd' members over these paths such that their average evacuation time is minimized based on the probabilistic roadmaps approach. The generated paths are combined with reciprocal velocity obstacle method to handle collisions and generate the final motions of the individuals. We demonstrate its potential on large public places with 10000 individuals and evaluate the results from our simulations using some quantitative quality metrics. In practice, our method can interactively simulate large crowds with thousands of individuals on a desktop PC and naturally generates a diverse set of emergent behaviors.

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Section: B Relationship Between Crowd Density and Velocitymentioning

confidence: 99%

Diversified Crowd Evacuation Method in Large Public Places

Liu¹,

Lyu

2019

IEEE Access

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show abstract

“…probability function of selecting each path [26,27], cost benefit analysis function [28], is set up to determine the way of choosing the certain route among the alternatives. In network based route choice models [20,26,28,29], a network is used to model the layout of the walking facility. To be specific, the nodes of the network represent the section of the walking space in the facility irrespective of its physical dimensions.…”

Section: Introductionmentioning

confidence: 99%

A robust potential-based route choice model for simulating pedestrian evacuation

Chen

Guo

et al. 2019

J. Stat. Mech.

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In this paper, a cellular automata model for pedestrian evacuation is presented. Special attention is paid to a phenomenon wherein an artificial and allegedly unrealistic bias in route choice is introduced. This phenomenon is caused by the so-called gray areas that affect the calculation of the potential fields which dictate pedestrians’ movements between lattice sites. In this paper, the concept of gray areas is formulated and the influence of the gray areas on the route choice is investigated for the first time. In brief, gray areas are those specific zones that should not influence the route choice behavior of pedestrians because they in fact cannot improve or deteriorate the evacuation safety, comfort and efficiency at all. To make the cellular automata model more robust to the gray areas, a new model is proposed based on a previous one, in which three factors including route distance, pedestrian congestion and route capacity are considered in the computation of the potential field. By changing the definition of route capacity from an exit dependent route capacity to be a path dependent one, the proposed model is not only comparable to the previous model in the sense of generating a wide range of route choice modes, but also more robust than the previous one when applied in the scenario containing gray areas. Such robustness is reflected in two aspects. First, the route choice patterns generated by the proposed algorithm are free from artificial and allegedly unrealistic bias in scenario with gray areas. Second, the route choice patterns generated by the proposed algorithm are less influenced by the extended gray areas and are closer to the optimal route choice. These two aspects are further confirmed by a comparison study with a finely validated perception-based model. Moreover, sensitivity analysis reveals that the proposed model is able to generate a wider range of route choice patterns. Finally, the results from the proposed model and empirical data are compared to show the effectiveness of the model in reproducing the route choice patterns observed in the reality.

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Personality trait and group emotion contagion based crowd simulation for emergency evacuation

Mao

Yang

et al. 2018

Multimed Tools Appl

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Crowd simulation using DC model and density information

Cited by 3 publications

References 24 publications

Diversified Crowd Evacuation Method in Large Public Places

Diversified Crowd Evacuation Method in Large Public Places

A robust potential-based route choice model for simulating pedestrian evacuation

Personality trait and group emotion contagion based crowd simulation for emergency evacuation

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