Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
The agent-based simulation is a cutting-edge
example of a fresh and clever technique intended to fulfil these
goals. Numerous academics and researchers investigated the
crucial merits, applicability, and contributions of this approach in
a range of extreme situations and catastrophic scenarios. Their
numerical analysis and mathematical simulations showed that the
agent-based simulation framework is essential for providing a
thorough knowledge of pedestrian behavior and human mobility
in difficult emergency conditions. This work uses egress modelling
to explore crew procedures' impact on evacuating train cabins
under different fire scenarios.
Based on the numerical simulations and analyses conducted
via the Netlogo software package, Author’s found that two
employees (contracted by the railroad company) in the lounge
coach and two train hosts in the first-class coaches under
emergencies achieve an efficient step toward evacuating a larger
number of passengers. Nonetheless, passengers should be aware
and familiar with the locations of these exit points, emergency
signs, and egress paths to avoid any congestion, stampedes, and
social attachment that may contribute to losses of life and delay
the evacuation process. Also, an agent-based simulation is
remarkably practical for determining intelligent practices and
effective methods that can be adopted and followed to accelerate
the evacuation process compared with other methods that are very
difficult or unethical to apply, such as subjecting a group of people
to a real fire event and predicting some methods to evacuate them
based on the results.
Description
Keywords
agent-based simulation
,
Netlogo
,
High-speed trains
,
Evacuation procedures
,
Egress modelling
Citation
Maghaydah, S. et al. (2023) “Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin,” in 2023 International Conference on Business Analytics for Technology and Security (ICBATS), pp. 1–7.