JOURNAL ARTICLE

Simulation and optimization of hybrid evacuation model for high-rise building under emergency condition.

  • Published In: International Journal of Modeling, Simulation & Scientific Computing, 2023, v. 14, n. 3. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Mao, Huaqing; Zhu, Li 3 of 3

Abstract

With the characteristics of high-speed transportation, the elevator has an overwhelmingly crucial meaning footnote in an auxiliary evacuation high-rise building with more than 30 floors causing the time to be the deciding factor under the emergency condition. The study shows that using the stairway or elevator separately cannot achieve the best effect. The elevator's evacuation time depends on the number of occupants on each floor and the elevator's carrying capacity. This paper discusses how to use the stair and elevator to optimize the hybrid evacuation in high-rise buildings and proposes two goals for the evacuation model of high-rise buildings under emergency conditions. One is that both the last occupant to use the stairway and the last occupant to use the elevator reach the safe place simultaneously. The other is that we fine-tune the evacuation destinations of the occupants to balance the utilization of each evacuation path as much as possible. We present the optimization method with three steps, and the evacuation time shrunk by up to 57% according to the baseline. Finally, we compare the optimized hybrid evacuation and the single evacuation method to the previous work and give the results of the experiments. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modeling, Simulation & Scientific Computing. 2023/06, Vol. 14, Issue 3, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:17939623
  • DOI:10.1142/S1793962323500393
  • Accession Number:169782901
  • Copyright Statement:Copyright of International Journal of Modeling, Simulation & Scientific Computing is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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