Evacuation through clustering techniques

Chrysafis Vogiatzis, Jose L. Walteros, Panos M. Pardalos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Evacuation and disaster management is of the essence for any advanced society. Ensuring the welfare and well-being of the citizens even in times of immense distress is of utmost importance. Especially in coastal areas where tropical storms and hurricanes pose a threat on a yearly basis, evacuation planning and management is vital. However, modern metropolitan city evacuations prove to be large-scale optimization problems which cannot be tackled in a timely manner with the computational power available. We propose a clustering technique to divide the problem into smaller and easier subproblems and present numerical results that prove our success.

Original languageEnglish (US)
Title of host publicationModels, Algorithms,and Technologies for Network Analysis
Subtitle of host publicationProceedings of the First International Conference on Network Analysis
PublisherSpringer
Pages185-198
Number of pages14
ISBN (Print)9781461455738
DOIs
StatePublished - Jan 1 2013
Externally publishedYes

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume32
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Keywords

  • Decomposition by clustering technique
  • Evacuation and disaster management
  • Large-scale optimization problems

ASJC Scopus subject areas

  • Mathematics(all)

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