Design and analysis of a fast approximation algorithm for multi-modal emergency evacuation routes in the 3D environment

C. T. Ng, T. C.E. Chen, A. Elalouf, E. Levner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We consider a multi-modal constrained routing problem arising in emergency evacuation situ-ations. Given a three-dimensional geometric structure of the evacuation network related to an area, such as a high-rise building or a city area with tense population, an emergency evacuation route is a sequence of move-ments of people away from the threat or actual occurrence of a hazard (e.g., a fire or a hidden bomb) to a safe exit of the area. The multi-modality condition corresponds to different possible ways and modes of evacuation (ambulances, trucks, helicopters, planes, etc.) and dictates specific demands to the solution algorithms. We provide a new pseudo-polynomial-time dynamic programming algorithm to solve this problem. Based on this algorithm, we construct a Fully Polynomial- Time Approximation Scheme (FPTAS), providing “almost-optimal” solutions in real time.

Original languageEnglish
Title of host publicationEnvironmental Science and Information Application Technology - Proceedings of the 2014 5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014
EditorsDavid Chan
PublisherCRC Press/Balkema
Pages307-312
Number of pages6
ISBN (Print)9781138028142
DOIs
StatePublished - 2015
Event5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014 - Hong Kong, China
Duration: 7 Nov 20148 Nov 2014

Publication series

NameEnvironmental Science and Information Application Technology - Proceedings of the 2014 5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014

Conference

Conference5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014
Country/TerritoryChina
CityHong Kong
Period7/11/148/11/14

Bibliographical note

Publisher Copyright:
© 2015 Taylor & Francis Group, London.

Funding

FundersFunder number
Hong Kong Polytechnic UniversityG-UC59

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