Efficient computation of evacuation routes on a three-dimensional geometric network
•We define a real-time emergency evacuation problem that seeks for rapid evacuation routes in buildings.•We formulate the stochastic routing problem as a non-linear routing problem subject to node-wise constraints.•We prove the problem to be NP-hard.•We suggest the exact dynamic programming algorith...
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| Published in: | Computers & industrial engineering Vol. 76; pp. 231 - 242 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Elsevier Ltd
01.10.2014
Pergamon Press Inc |
| Subjects: | |
| ISSN: | 0360-8352, 1879-0550 |
| Online Access: | Get full text |
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| Summary: | •We define a real-time emergency evacuation problem that seeks for rapid evacuation routes in buildings.•We formulate the stochastic routing problem as a non-linear routing problem subject to node-wise constraints.•We prove the problem to be NP-hard.•We suggest the exact dynamic programming algorithm and two polynomial time approximation algorithms.•We present and discuss a case study and results of computational experiments.
We consider a real-time emergency evacuation problem that seeks to compute a set of rapid evacuation routes in a building. Given a three-dimensional geometric structure of the evacuation network, an emergency evacuation route is a sequence of movements of people away from the threat or actual occurrence of a hazard (such as a fire, a hidden bomb) to a safe exit in the network. In such a network each room/crossing/exit in the building is designated as a node and the corridors/staircases/links between the rooms are edges. The evacuation times assigned to the edges are normally distributed random variables. This stochastic routing problem subject to deadline constraints is NP-hard. We provide a new pseudo-polynomial-time dynamic programming algorithm to solve this problem. Based on this algorithm, we construct two types of approximation algorithm, namely a fully polynomial-time approximation scheme providing “almost-optimal” solutions and a fully polynomial-time approximately feasible scheme yielding a best “almost feasible” solution. We present a case study and results of computational experiments to illustrate the working and efficacy of the proposed solution methods, respectively. |
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| Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0360-8352 1879-0550 |
| DOI: | 10.1016/j.cie.2014.08.003 |