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Author | Ingo J. Timm; Bernhard Hess; Fabian Lorig | ||||
Title | Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | Evacuation of Public Buildings, Data Fusion, Data Aggregation, Crowd Simulation, Social Simulation | ||||
Abstract | 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. |
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Address | Trier University, Germany | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T5- Intelligent and Semantic Web Systems | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1949 | |||
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