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Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings
Ingo J. Timm
author
Bernhard Hess
author
Fabian Lorig
author
2019
Iscram
Valencia, Spain
English
Crowd simulation is suitable to evaluate evacuation strategies but its validity strongly depends on the quality of input
data. The acquisition of adequate input data is particularly challenging when simulating the evacuation of public
buildings such as universities. As they are publicly accessible, the exact number of persons on site is unknown.
Yet, to investigate specific emergency situations by means of simulation, e.g. amok or fire, information is required
about distribution and amount of people within the building at a specific point of time. Due to data privacy, public
buildings do not implement access control. However, data artifacts are available in various information systems,
e.g., wifi data, room administration. Our hypothesis is, that the acquisition and fusion of such data artifacts is
sufficient to enable data-based ad-hoc simulation of evacuation scenarios as decision support for the operations
management. To this end, we introduce a procedure for the situation-dependent collection fusion of simulation
input data. Furthermore, a case study is provided to demonstrate the feasibility of the approach.
Evacuation of Public Buildings
Data Fusion
Data Aggregation
Crowd Simulation
Social Simulation
exported from refbase (http://idl.iscram.org/show.php?record=1949), last updated on Fri, 22 Nov 2019 11:15:41 +0100
text
http://idl.iscram.org/files/ingojtimm/2019/1949_IngoJ.Timm_etal2019.pdf
IngoJ.Timm_etal2019
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management
Iscram 2019
Franco
Z
editor
González
J
J
editor
Canós
J
H
editor
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
2019
Iscram
Valencia, Spain
conference publication
978-84-09-10498-7
2411-3387
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