Modeling Crowd and Trained Leader Behavior during Building Evacuation

  title={Modeling Crowd and Trained Leader Behavior during Building Evacuation},
  author={Nuria Pelechano and Norman I. Badler},
  journal={IEEE Computer Graphics and Applications},
This article considers animating evacuation in complex buildings by crowds who might not know the structure's connectivity, or who find routes accidentally blocked. It takes into account simulated crowd behavior under two conditions: where agents communicate building route knowledge, and where agents take different roles such as trained personnel, leaders, and followers 

Figures from this paper

Agent-Based Crowd Evacuation Modeling in Buildings

Visualization results show an agent-based approach to modeling crowd evacuation, including navigator model and crowd movement model, can access to realistic evacuation process and achieve the goal of rapid evacuation.

Combining Building and Behavior Models for Evacuation Planning

This approach uses the extended hierarchical node relation model (EHI-NRM) to represent a building's internal structure and employs the improved cellular-automata model to consider route-choice behavior, such as spatial reasoning and communication among evacuees.

Crowd Evacuation Simulation in Multi-Agent Based Virtual Environment

A crowd evacuation simulation model was presented, which aims at the high-level decision-making skills and wayfinding algorithm to explore the leadership in underground emergency evacuation to create believable crowd behaviors in virtual coalmine.

Optimizing leader proportion and behavior for evacuating buildings

The simulation of the evacuation of high-occupancy buildings finds that an evacuee to leader ratio of 20:1 is optimal and that leaders should guide rather than lead agents out of the building.

Crowd Evacuation Optimization by Leader-follower Model

The results show that evacuation with evacuation leaders can effectively reduce the evacuation time and casualties in an emergency situation in public place with a large number of pedestrians.

Human Relationship Modeling in Agent-Based Crowd Evacuation Simulation

A human behavior model in evacuation based on the Belief-Desire-Intention (BDI) model and Helbing's agent behavior model is proposed and indicates that due to the interaction it takes a longer time to evacuate from buildings in actual situations.

Modeling and Optimization of Building Emergency Evacuation Considering Blocking Effects on Crowd Movement

A new macroscopic network-flow model is established where fire, smoke, and psychological factors can evoke a crowd's desire to escape—the desired flow rate, which can evacuate more people more rapidly by preventing or mitigating potential disorder and blocking at bottleneck passages.

Building Occupant Evacuation Models Inside Buildings – Approach, Progress and Solutions

This paper proposes approach to evacuation modeling, which is mainly consisted of four core components, like spatial model, crowd movement model, individual behavioral model and psychological model, and establishment of general process of evacuation modeling.

Modeling and optimization of crowd guidance for building emergency evacuation

There is a major gap between these microscopic models of individuals evacuating from rooms and the macroscopic models of crowd flows needed to evacuate them from a building, which makes it difficult to capture important features such as stampeding or blocking.

Analyzing Large-Scale Crowd Simulations for Building Evacuation

A scalable architecture is used to simulate a large-scale version of a virtual crowd in a building evacuation, showing that the trend of avatars towards crowding in some areas highly increases the computation time for the agents hosted in some client computers.



Simulating virtual crowds in emergency situations

The main contributions of this paper are the treatment of complex environments and their implications on agents' movement, the management of alarms distributed in space, the virtual agents endowed with perception of emergency events and their consequent reaction as well as changes in their individualities.

Crowd simulation incorporating agent psychological models, roles and communication

An architecture is proposed that combines and integrates MACES and PMFserv to add validated agent behaviors to crowd simulations to expand the range of realistic human behaviors.

An Informed Environment Dedicated to the Simulation of Virtual Humans in Urban Context

The creation of an Informed Environment, dedicated to urban life simulation, based on a hierarchical decomposition of a urban scene into Environment Entities providing geometrical information as well as semantic notions, thus allowing a more realistic simulation of human behaviour.

Simulating dynamical features of escape panic

A model of pedestrian behaviour is used to investigate the mechanisms of panic and jamming by uncoordinated motion in crowds, and an optimal strategy for escape from a smoke-filled room is found, involving a mixture of individualistic behaviour and collective ‘herding’ instinct.

Agent Behaviour Simulator (ABS):a platform for urban behaviour development

A platform that aims to accelerate the development of agent behaviours and makes it easy to enter local rules and callbacks which govern the individual behaviours, and experimentation with the system has shown that behaviours in environments with thousands of agents can be developed and visualised in effortlessly.

Group Behaviors for Systems with Significant Dynamics

  • David C. BroganJ. Hodgins
  • Computer Science
    Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots
  • 1995
An algorithm for controlling the movements of creatures that travel as a group is described and the performance of the algorithm is evaluated with three simulated systems: legged robots, humanlike bicycle riders, and point-mass systems.

Flocks, herds and schools: A distributed behavioral model

This paper explores an approach based on simulation as an alternative to scripting the paths of each bird individually, an elaboration of a particle systems, with the simulated birds being the particles.

Cognitive modeling: knowledge, reasoning and planning for intelligent characters

Cognitive modeling applications in advanced character animation and automated cinematography are demonstrated, allowing behaviors to be specified more naturally and intuitively, more succinctly and at a much higher level of abstraction than would otherwise be possible.

Flow tiles

This work presents flow tiles, a novel technique for representing and designing velocity fields, which are divergence-free and hence suitable for representing a range of effects, and discusses issues that arise in designs, algorithms for creating tilings, and three applications.

Computer Animation

Computer animation is a natural way of visualizing the results obtained from the simulation and helps to understand physical laws by adding motion control to data in order to show their evolution over time.