Modeling and assessing evacuation route plans by resorting to the P-graph framework

J. C. Garcia-Ojeda, A. Argoti, B. Bertok, F. Friedler

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

Abstract

Industrial sites are being built increasingly more complex, thus making it difficult to effect rapid and safe evacuations. The optimal evacuation plan depends on the types and locations of threats in addition to the site's layout; moreover, it is necessary to determine the plan in real time when the events are detected. In such emergency scenarios, determining an optimal or near optimal plan, in terms of the egress time, entails the evaluation of numerous alternative evacuation routes. This problem is highly convoluted because of its combinatorial nature; thus, it is highly desirable or even essential, to have access to optimization techniques to solve it. In the present contribution, an algorithmic optimization method is presented to plan evacuation strategies in the chemical industry, in terms of the egress time, supported by software tools. This method uses the graph-theoretic approach based on P-graphs, which exploits the combinatorial nature of the problem, thus providing optimal solutions with high computational efficiency. The method is illustrated by applying it to the evacuation of various industrial site configurations.

Original languageEnglish
Title of host publication2020 Smart Cities Symposium Prague, SCSP 2020
EditorsJiri Ruzicka
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168210
DOIs
StatePublished - Jun 2020
Externally publishedYes
Event2020 Smart Cities Symposium Prague, SCSP 2020 - Prague, Czech Republic
Duration: 25 Jun 2020 → …

Publication series

Name2020 Smart Cities Symposium Prague, SCSP 2020

Conference

Conference2020 Smart Cities Symposium Prague, SCSP 2020
Country/TerritoryCzech Republic
CityPrague
Period25/06/20 → …

Keywords

  • Building evacuation route planning
  • Chemical Complexes
  • Combinatorial optimization
  • P-graph
  • Process-network synthesis

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