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Mass evacuation simulation considering detailed models: behavioral profiles, environmental effects, and mixed-mode evacuation

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Aguilar Leonel, Wijerathne Lalith, Jacob Stephen, Hori Muneo, Ichimura Tsuyoshi,
Project The Anatomy of Systemic Financial Risk: Combining Ethical, Political and Economic Dimensions for Public Policy
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Original article (peer-reviewed)

Journal Asia Pacific Management Review
Volume (Issue) 24(2)
Page(s) 114 - 123
Title of proceedings Asia Pacific Management Review
DOI 10.1016/j.apmrv.2019.05.001


This paper presents a mass evacuation simulator capable to handle complex cognitive agents in large urban areas considering sub-meter details of the environment. Details of the evacuation simulation software in the context of dynamical systems provide a common ground for the comparison with other evacuation simulation tools and a software specification language for further development. Examples of the implemented functionality for the creation of heterogeneous autonomous evacuees is further described. Different evacuees are modeled using different modes of evacuation (cars and pedestrians), complex sensing capabilities (visually perceiving the environment and identifying features, etc.) and cognitive capabilities (path planning considering the evacuees’ preferences and experiences, avoiding collisions with each other, etc.). Several demonstrative large urban area evacuation scenarios are presented in order to highlight the need for incorporating detailed models of the environment and the complex agent functions. These scenarios range from evacuations with different lighting conditions and environmental damages, to mixed mode evacuations using cars and pedestrians. Most of these scenarios, like night time evacuation in a damaged environment or mixed mode evacuation cannot be simulated with the simplified models without sacrificing accuracy.