Dynamical transitions in peak elevator traffic

Takashi Nagatani

Physica A: Statistical Mechanics and its Applications, 2004, vol. 333, issue C, 441-452

Abstract: We study the dynamical phase transitions in the elevator traffic during the morning peak period. We apply the coupled nonlinear map model to the dynamics of M elevators. We investigate the effect of elevator's number M on the dynamical transition. It is shown that the dynamical transitions occur at two stages. The first transition occurs when an elevator carries the full load of passengers. Then, the second transition occurs if all the elevators carry the full load of passengers. The number of riding passengers fluctuates with varying trips. This is due to the deterministic chaos. The motions of elevators depend on the loading parameter, the maximum capacity of an elevator, and the number of elevators. The dependence of the first and second transition points on the elevator's number M is shown.

Keywords: Elevator; Transportation; Chaos; Dynamical transition; Fluctuation (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437103009300
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:333:y:2004:i:c:p:441-452

DOI: 10.1016/j.physa.2003.10.001

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().