Crowds Evacuation Simulation on Heterogeneous Agent Using Agent-Based Reciprocal Velocity Obstacle

Author(s):  
Fadil Muhammad ◽  
Susi Juniastuti ◽  
Supeno Mardi Susiki Nugroho ◽  
Mochamad Hariadi
Safety ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 47
Author(s):  
Wattana Chanthakhot ◽  
Kasin Ransikarbum

Emergency events in the industrial sector have been increasingly reported during the past decade. However, studies that focus on emergency evacuation to improve industrial safety are still scarce. Existing evacuation-related studies also lack a perspective of fire assembly point’s analysis. In this research, location of assembly points is analyzed using the multi-criteria decision analysis (MCDA) technique based on the integrated information entropy weight (IEW) and techniques for order preference by similarity to ideal solution (TOPSIS) to support the fire evacuation plan. Next, we propose a novel simulation model that integrates fire dynamics simulation coupled with agent-based evacuation simulation to evaluate the impact of smoke and visibility from fire on evacuee behavior. Factors related to agent and building characteristics are examined for fire perception of evacuees, evacuees with physical disabilities, escape door width, fire location, and occupancy density. Then, the proposed model is applied to a case study of a home appliance factory in Chachoengsao, Thailand. Finally, results for the total evacuation time and the number of remaining occupants are statistically examined to suggest proper evacuation planning.


2013 ◽  
Vol 7 (1) ◽  
pp. 55-67 ◽  
Author(s):  
Xianye Ben ◽  
Xifa Huang ◽  
Zhaoyi Zhuang ◽  
Rui Yan ◽  
Sen Xu

2008 ◽  
Vol 11 (07) ◽  
pp. 717-737 ◽  
Author(s):  
HARBIR LAMBA ◽  
TIM SEAMAN

We continue an investigation into a class of agent-based market models that are motivated by a psychologically-plausible form of bounded rationality. Some of the agents in an otherwise efficient hypothetical market are endowed with differing tolerances to the tension caused by being in the minority. This herding tendency may be due to purely psychological effects, momentum-trading strategies, or the rational response to perverse marketplace incentives. The resulting model has the important properties of being both very simple and insensitive to its small number of fundamental parameters. While it is most certainly a caricature market, with only boundedly rational traders and the globally available information stream being modeled directly, other market participants and effects are indirectly replicated. We show that all of the most important "stylized facts" of real market statistics are reproduced by this model. Another useful aspect of the model is that, for certain parameter values, it reduces to a standard efficient-market system. This allows us to isolate and observe the effects of particular kinds of non-rationality. To this end, we consider the effects of different asymmetries in agent behavior and show that one in particular leads to skew statistics consistent with those seen in some real financial markets.


Author(s):  
Zhongrui Ni ◽  
Zhen Liu ◽  
Tingting Liu ◽  
Yanjie Chai ◽  
Cuijuan Liu

The simulation of a crowd evacuating public buildings can be an important reference in planning the layout of buildings and formulating evacuation strategies. This paper proposes an agent-based crowd model; a crowd evacuation navigation simulation model is proposed for the multi-obstacle environment. We introduce the concept of navigation factor to describe the proximity of the navigation point to the exit. An algorithm for creating navigation points in multi-obstacle environment is proposed along with the global navigation and local navigation control algorithms of the crowd. We construct a crowd evacuation simulation prototype system with different simulation scenes using the scene editor. We conduct the crowd evacuation simulation experiment in the multi-obstacle scene, recording and analyzing the relevant experimental data. The simulation prototype system can be used to derive the evacuation time of the crowd and analyze the evacuation behavior of the crowd. It is expected to provide a visual deduction method for crowd management in an evacuation emergency.


Author(s):  
Fathir Wafda ◽  
Rizqiya Windy Saputra ◽  
Yudha Nurdin ◽  
Nasaruddin ◽  
Khairul Munadi

Author(s):  
Gabriele Montecchiari ◽  
Gabriele Bulian ◽  
Paolo Gallina

The analysis of the ship layout from the point of view of safe and orderly evacuation represents an important step in ship design, which can be carried out through agent-based evacuation simulation tools, typically run in batch mode. Introducing the possibility for humans to interactively participate in a simulated evacuation process together with computer-controlled agents can open a series of interesting possibilities for design, research and development. To this aim, this article presents the development of a validated agent-based evacuation simulation tool which allows real-time human participation through immersive virtual reality. The main characteristics of the underlying social-force-based modelling technique are described. The tool is verified and validated by making reference to International Maritime Organization test cases, experimental data and FDS + Evac simulations. The first approach for supporting real-time human participation is then presented. An initial experiment embedding immersive virtual reality human participation is described, together with outcomes regarding comparisons between human-controlled avatars and computer-controlled agents. Results from this initial testing are encouraging in pursuing the use of virtual reality as a tool to obtain information on human behaviour during evacuation.


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