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Computer Science > Discrete Mathematics

arXiv:2002.08114 (cs)
[Submitted on 19 Feb 2020]

Title:BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation

Authors:Subhra Mazumdar, Arindam Pal, Francesco Parisi, V.S. Subrahmanian
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Abstract:Past work on evacuation planning assumes that evacuees will follow instructions -- however, there is ample evidence that this is not the case. While some people will follow instructions, others will follow their own desires. In this paper, we present a formal definition of a behavior-based evacuation problem (BBEP) in which a human behavior model is taken into account when planning an evacuation. We show that a specific form of constraints can be used to express such behaviors. We show that BBEPs can be solved exactly via an integer program called BB_IP, and inexactly by a much faster algorithm that we call BB_Evac. We conducted a detailed experimental evaluation of both algorithms applied to buildings (though in principle the algorithms can be applied to any graphs) and show that the latter is an order of magnitude faster than BB_IP while producing results that are almost as good on one real-world building graph and as well as on several synthetically generated graphs.
Subjects: Discrete Mathematics (cs.DM); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Social and Information Networks (cs.SI)
Cite as: arXiv:2002.08114 [cs.DM]
  (or arXiv:2002.08114v1 [cs.DM] for this version)
  https://doi.org/10.48550/arXiv.2002.08114

Submission history

From: Arindam Pal [view email]
[v1] Wed, 19 Feb 2020 11:34:52 UTC (3,053 KB)
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Subhra Mazumdar
Arindam Pal
Francesco Parisi
V. S. Subrahmanian
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