Large Event Halls Evacuation Using an Agent-Based Modeling Approach

The paper explores the usage of agent-based modeling in the context of large event halls evacuation during music festivals and cultural events. An agent-based model is created in NetLogo 6.2.2 for better representing the human behavior when involved in such situations. A series of characteristics have been set for the agents in order to preserve their heterogeneity in terms of speed, age, locomotion impairment, familiarity with the environment, evacuating with another person, choosing the closest exit or not, selecting the closest path to the exits. An adapted cone exit approach has been proposed in the paper in order to facilitate the guidance of the agents in the agent-based model to the closest exit and its advantages have been proved in comparison with the classical cone exit approach. Different evacuation scenarios have been simulated and analyzed for better observing the capabilities of evacuation modeling in the case of evacuation emergencies. Besides the overall evacuation time, an average evacuation time has been determined for the agents based on the individual evacuation time, which can be easily connected with a risk indicator associated to each situation. Due to the visual interface offered by the agent-based model, coupled with the evacuation indicators, the proposed model can allow the identification of the main factors that may contribute to a prolonged evacuation process (e.g. overcrowding at one of the exits, not choosing the appropriate door, evacuating with a friend/parent) and the potential measures to be considered for insuring a safe evacuation process.

Automated summary

This paper explores the usage of agent-based modeling in large event halls evacuation during music festivals and cultural events. It proposes an adapted cone exit approach to facilitate the guidance of the agents in the model and compares its advantages with the classical cone exit approach. Different evacuation scenarios are simulated and analyzed to observe the capabilities of evacuation modeling in emergency situations. The visual interface of the agent-based model allows for the identification of factors that may contribute to a prolonged evacuation process and potential measures to ensure a safe evacuation process.