Abstract | ||
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This paper presents a computational component designed to improve and evaluate emergency handling plans. In real-time, the component operates as the core of an Internet of Things (IoT) infrastructure aimed at crowd monitoring and optimum evacuation paths planning. In this case, a software architecture facilitates achieving the minimum time necessary to evacuate people from a building. In design -time, the component helps discovering the optimal building dimensions for a safe emergency evacuation, even before (re-) construction of a building. The space and time dimension are discretized according to metrics and models in literature. The component formulates and solves a linearized, time -indexed flow problem on a network that represents feasible movements ofpeople at a suitable frequency. The CPU time to solve the model is compliant with real-time use. The application of the model to a real location with real data testifies the model capability to optimize the safety standards by small changes in the building dimensions, and guarantees an optimal emergency evacuation performance. |
Year | DOI | Venue |
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2019 | 10.24251/hicss.2019.083 | PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES |
Field | DocType | Citations |
Architecture,Software engineering,Computer science,Internet of Things,Knowledge management,Software architecture | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Henry Muccini | 1 | 1185 | 92.63 |
Claudio Arbib | 2 | 119 | 22.41 |
Paul Davidsson | 3 | 315 | 53.19 |
Mahyar Tourchi Moghaddam | 4 | 11 | 3.90 |