A simulation model for investigation of operation of elevator’s up-peak

Shousheng Xiang, Mehrdad Arashpour, Ron Wakefield

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Elevator planning is a key factor for high-rise building construction and building design. Up-peak load is a common phenomenon in building elevator design and operation. For example, in the morning, passengers want to take an elevator to their working floors. Up-peak is often used as the critical traffic period for elevator planning in a building. Two parameters are usually used to plan elevators: the elevator’s round-trip time and average waiting time. To easily and accurately obtain the values of these two parameters during up-peak load, we propose an agent-based discrete-event simulation model. The validation of the baseline model is undertaken using deterministic data, after which the model is expanded to the random situation. Then, we use an event to define any arrival pattern of passengers. Finally, we describe various model elements to carry out simulation in other cases. A number of practical examples show that the model can be used as an elevator planning tool for building design and construction.

Original languageEnglish
Number of pages10
JournalJournal of Simulation
DOIs
Publication statusAccepted/In press - 26 Apr 2019

Keywords

  • agent-based modelling
  • discrete-event simulation
  • Elevator planning

Cite this

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A simulation model for investigation of operation of elevator’s up-peak. / Xiang, Shousheng; Arashpour, Mehrdad; Wakefield, Ron.

In: Journal of Simulation, 26.04.2019.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Wakefield, Ron

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