Guided crowd dynamics via modified social force model

Yang, Xiaoxia; Dong, Hairong; Wang, Qianling; Chen, Yao; Hu, Xiaoming

doi:10.1016/j.physa.2014.05.068

Cited by 123 publications

(45 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More and more attention has been paid to the safety of people's lives during the evacuation. Nowadays, experiment and simulation modeling are the main methods of studying evacuation, and many evacuation models have been built by researchers, such as the social force model [1][2][3][4][5][6], cellular automata models [7][8][9][10][11][12], fluid dynamic models [13][14][15], lattice gas models [16][17][18][19][20][21][22] and network-based models [23][24][25][26]. These models can reproduce typical pedestrian behaviors such as faster is slower [1,2,27,28], herding behavior [2,7,17,29], lane formation [18,30,31] and self-organization [32][33][34], and capture microscopic and macroscopic characteristics of pedestrian traffic.…”

Section: Introductionmentioning

confidence: 99%

A multi-grid model for pedestrian evacuation in a room without visibility

Cao

Song

et al. 2015

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A multi-grid model for pedestrian evacuation in a room without visibility

Cao

Song

et al. 2015

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

“…Examples of microscopic models are cellular automata models (e.g., [10,[25][26][27][28][29][30][31]), lattice gas models (e.g., [32]), social force models (e.g., [4,11,[33][34][35]), motion planning with velocity obstacles (e.g., [36,37]), agent-based models (e.g., [38][39][40]), game theoretic models (e.g., [41][42][43]), approaches based on experiments with animals (e.g., [44][45][46][47]), and hybrid models (e.g., [48]). Cellular automata models and lattice gas models partition the space into grids or hexagons.…”

Section: Evacuation Models and Crowd Dynamicsmentioning

confidence: 99%

Integrating Decentralized Indoor Evacuation with Information Depositories in the Field

Zhao

Winter

Tomko

2017

IJGI

View full text Add to dashboard Cite

Abstract:The lonelier evacuees find themselves, the riskier become their wayfinding decisions. This research supports single evacuees in a dynamically changing environment with risk-aware guidance. It deploys the concept of decentralized evacuation, where evacuees are guided by smartphones acquiring environmental knowledge and risk information via exploration and knowledge sharing by peer-to-peer communication. Peer-to-peer communication, however, relies on the chance that people come into communication range with each other. This chance can be low. To bridge between people being not at the same time at the same places, this paper suggests information depositories at strategic locations to improve information sharing. Information depositories collect the knowledge acquired by the smartphones of evacuees passing by, maintain this information, and convey it to other passing-by evacuees. Multi-agent simulation implementing these depositories in an indoor environment shows that integrating depositories improves evacuation performance: It enhances the risk awareness and consequently increases the chance that people survive and reduces their evacuation time. For evacuating dynamic events, deploying depositories at staircases has been shown more effective than deploying them in corridors.

show abstract

“…4. Since there is no panic, we choose β 1 = β 2 = β 3 = 1 in (9), (11) and (12). The panic case is shown in Fig.…”

Section: Evacuation Without Leadermentioning

confidence: 99%

“…Recently several extended versions of this model were also developed in, for example, Refs. [7][8][9][10][11][12], to name a few.…”

Section: Introductionmentioning

confidence: 99%