Study on Emergency Evacuation and Intervention Behavior of Population with Spatial Knowledge Integrity

The level of spatial knowledge integrity of a population is crucial for fire escape behavior. The use of appropriate interventions for people with different levels of spatial knowledge can effectively improve evacuation efficiency. However, different emergency situations also have different effects on evacuation behavior. In this paper, we combine spatial knowledge integrity, intervention behavior and emergency situations in a fire evacuation study. To complete this study, 128 participants were recruited using VR technology, classified into spatial knowledge completeness, and studied crowd evacuation through different intervention behaviors in different simulated emergency scenarios. The results of the study showed that participants with complete spatial knowledge had shorter evacuation distances and times. Secondly, leader interventions guided evacuation better for participants with incomplete spatial knowledge in low-hazard emergencies, while range interventions were better for participants with complete spatial knowledge. Thirdly, in high-risk emergencies, leader intervention was better than range intervention for evacuation, regardless of spatial knowledge completeness. Fourth, the interaction between spatial knowledge completeness and intervention behavior was significant, positively influencing the evacuation time and distance of participants.

Crowd Emergency Evacuation Simulation Time Analysis via Obstacle Optimization Strategy

The crowd evacuation simulation is essential to provide important results for occupants, especially in the large capacity building compared to the human fire drill exercise. The strategy of evacuation such as the use of obstacles may need to be adapted by many organizations as an aid to help in visualizing and estimating the evacuation time during an emergency. During certain crowd events, they may consider the various setting of the object to ensure smoothness and effective crowd evacuation flow. In this paper, it aims to provide the simulation with 100-1000 agents and testing with obstacle using Anylogic tool and analysis of evacuation time validated using SPSS. The results show that the placement of obstacles near the exit way indeed can reduce the evacuation time and complies with the anti-arching phenomenon during evacuation.

Crowd Evacuation Simulation Research Based on Improved Reciprocal Velocity Obstacles (RVO) Model with Path Planning and Emotion Contagion

Crowd evacuation simulation is an important research topic for designing reasonable building layout and effective evacuation routes. The reciprocal velocity obstacles (RVO) model is a pedestrian motion model which is used, but it does not work when complex and multiple obstacles are present in the scene. This paper proposes an improved RVO model with path planning and emotion contagion for crowd evacuation simulation. The model uses the vertices of the obstacles to construct pedestrian path nodes for planning pedestrian evacuation paths. To make the pedestrian evacuation paths simulation results more reasonable, the safety and congestion of the path nodes are considered, to plan the shortest evacuation path. Finally, a contagious disease model is introduced to study the impact of emotion contagion on the evacuation process. A crowd evacuation simulation system is developed, and simulations have been carried out in a variety of scenarios. Experiments show that the model can effectively simulate crowd evacuation, providing a powerful reference for building and layout design.