Emergency Evacuation Simulation Study Based on Improved YOLOv5s and Anylogic

Abstract

With the development of the social economy and the continuous growth of the population, emergencies within field stations are becoming more frequent. To improve the efficiency of emergency evacuation of field stations and further protect people’s lives, this paper proposes a method based on improved YOLOv5s target detection and Anylogic emergency evacuation simulation. This method applies the YOLOv5s target detection network to the emergency evacuation problem for the first time, using the stronger detection capability of YOLOv5s to solve the problem of unstable data collection under unexpected conditions. This paper first uses YOLOv5s, which incorporates the SE attention mechanism, to detect pedestrians inside the site. Considering the height of the camera and the inability to capture the whole body of the pedestrian when the site is crowded, this paper adopts the detection of the pedestrian’s head to determine the specific location of the pedestrian inside the site. To ensure that the evacuation task is completed in the shortest possible time, Anylogic adopts the principle of closest distance evacuation, so that each pedestrian can leave through the exit closest to him or her. The experimental results show that the average accuracy of the YOLOv5s target detection model incorporating the SE attention mechanism can reach 94.01%; the constructed Anylogic emergency evacuation model can quickly provide an evacuation plan to guide pedestrians to leave from the nearest exit in an emergency, effectively verifying the feasibility of the method. The method can be extended and applied to research related to the construction of emergency evacuation aid decision-making systems in field stations.

Comprehensive and Simulated Modeling of a Centralized Transport Robot Control System

“…State diagrams can also contain agents embedded in them. AnyLogic uses 2D and 3D animation libraries to give the modeling process visual representation [20].…”

Impact of IoT System Imperfections and Passenger Errors on Cruise Ship Evacuation Delay

“…Our study uses a simulation framework to evaluate the outcome of these factors on the time needed by passengers to reach a safe exit, based on multiple simulation runs using the AnyLogic simulator [ 23 ] described in Section 2 . The present research does not consider some other features that can impact the speed and safety of human beings during emergencies [ 7 , 24 ], including the time needed to traverse passages and staircases as a function of the health and age of different passengers.…”