Simulation of Small Social Group Behaviors in Emergency Evacuation

Xie, Ruilin; Yang, Zhicheng; Niu, Yu; Zhang, Yanci

doi:10.1145/2915926.2919325

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…This method uses linear programming optimization and stochastic routing to navigate vehicle crowds in case of an emergency evacuation or after special events [28]. Furthermore other researchers have a focus on the evacuation model of crowd type [29] [31].…”

Section: Introductionmentioning

confidence: 99%

A Novel Urban Emergency Path Planning Method Based on Vector Grid Map

et al. 2020

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When an emergency occurs in the city, a large area of road congestion usually occurs. Therefore, it is particularly important to provide an effective emergency path planning strategy for vehicles. However, existing emergency path planning methods do not take into account the connectivity characteristics of the road network and commuting capacity. For this purpose, a Grid Map Emergency Path Planning (GMEPP) framework based on a novel model Grid Road Network (GRN) is designed in this paper. First, the road network data is divided into grids under equal spacing bands, and the roads data divided into different grids and use the commuting capacity of each road as the weight of each edge in the grid. Then a Grid PageRank (GPR) algorithm will be introduced, the output value of this methodology is calculated based on the capacity and number of connected edges of all vertices pointed by the external grid in each grid. The higher value of the grid will be recommended to users first when the path is planning. According to the GRN model, an improved Bidirectional Dijkstra will be applied to query the shortest path between two points, which is called Gird Bidirectional Dijkstra (GBD). At last, GMEPP uses Reverse Contraction Hierarchies (RCH) and Multiple Reverse Contraction Hierarchies (MRCH) originality methodologies based on intersection type to speed up the query algorithm GBD. To compare the efficiency of the proposed method, this paper conducted extensive experiments to verify. The results of the test showed that the Gird Bidirectional Dijkstra Multiple Reverse Contraction Hierarchies (GBD-MRCH) is better than other methods in different grid distributions.

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Section: Introductionmentioning

confidence: 99%

A Novel Urban Emergency Path Planning Method Based on Vector Grid Map

et al. 2020

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A model for flexible representation of social groups in crowd simulation

Ivo

Cavalcante-Neto

Vidal

2021

Computers & Graphics

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Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling

Nicolas

Hafinaz

2021

Transportmetrica A: Transport Science

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Pedestrians are often encountered walking in the company of some social relations, rather than alone. The social groups thus formed, in variable proportions depending on the context, are not randomly organised but exhibit distinct features, such as the well-known tendency of 3-member groups to be arranged in a V-shape. The existence of group structures is thus likely to impact the collective dynamics of the crowd, possibly in a critical way when emergency situations are considered. After turning a blind eye to these group aspects for years, endeavours to model groups in crowd simulation software have thrived in the past decades. This fairly short review opens on a description of their empirical characteristics and their impact on the global flow. Then, it aims to offer a pedagogical discussion of the main strategies to model such groups, within different types of models, in order to provide guidance for prospective modellers.

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Simulation of Small Social Group Behaviors in Emergency Evacuation

Cited by 6 publications

References 22 publications

A Novel Urban Emergency Path Planning Method Based on Vector Grid Map

A Novel Urban Emergency Path Planning Method Based on Vector Grid Map

A model for flexible representation of social groups in crowd simulation

Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling

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