A simulation model for crowd evacuation of fire emergency scenario

Noor Akma, Abu Bakar and Khalid, Adam and Mazlina, Abdul Majid and Allegra, Mario (2017) A simulation model for crowd evacuation of fire emergency scenario. In: 8th International Conference on Information Technology (ICIT 2017), 17-18 May 2017 , Amman, Jordan. pp. 361-368.. ISBN 978-1-5090-6332-1

A simulation model for Crowd Evacuation1.pdf

Download (315kB) | Preview


Human safety is an important issue when handling the crowd evacuation in order to avoid death and injuries. Human behavior changes from normal to panic behavior when they are in an emergency scenario such as building on fire. Modelling panic behavior on evacuee is a critical challenge as the human movement is unpredictable. Simulation (example: Discrete Event Simulation and Agent-Based Simulation) is a well-known method to investigate crowd evacuation. But the question here is: Which simulation method is suitable to model a realistic representation of crowd evacuation? Thus, in this paper, a simulation model based on Agent-Based Simulation (ABS) and Social Force Simulation (SFS) Model is proposed to improve on modelling fire evacuation in a closed space (building). To achieve the above research aim, three simulation models (ABS Model, SFS Model and a hybrid of ABS and SFS model) will be developed and compared. This paper will discuss on the development of conceptual model of these three simulation models. Later, the conceptual models will be used to represent the investigated simulation models.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: crowd evacuation; simulation model; social force model; agent-based model; hybrid model; simulation optimization; conceptual model
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Mazlina Abdul Majid
Date Deposited: 22 Aug 2019 06:27
Last Modified: 22 Aug 2019 06:27
URI: http://umpir.ump.edu.my/id/eprint/25172
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item