 A simulation model for investigation of operation of elevator’s up-peakShousheng Xiang, Mehrdad Arashpour and Ron Wakefield Journal of Simulation, 2020, vol. 14, issue 3, 229-238 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. Date: 2020 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:14:y:2020:i:3:p:229-238 Ordering information: This journal article can be ordered from DOI: 10.1080/17477778.2019.1604465 Access Statistics for this article Journal of Simulation is currently edited by Christine Currie More articles in Journal of Simulation from Taylor & Francis Journals |
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