2012
DOI: 10.1016/j.physa.2012.04.013
|View full text |Cite
|
Sign up to set email alerts
|

Effect of periodic inflow on elevator traffic

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
8
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
4
3
1

Relationship

2
6

Authors

Journals

citations
Cited by 17 publications
(9 citation statements)
references
References 21 publications
1
8
0
Order By: Relevance
“…Utilization of elevators depends highly on both elevator information and passenger's preference. There are a few models of elevator traffic [47][48][49][50][51][52][53][54][55]. However, it is little known on how both elevator information and passenger's preference affect the dynamics and motion of elevators.…”
Section: Introductionmentioning
confidence: 99%
“…Utilization of elevators depends highly on both elevator information and passenger's preference. There are a few models of elevator traffic [47][48][49][50][51][52][53][54][55]. However, it is little known on how both elevator information and passenger's preference affect the dynamics and motion of elevators.…”
Section: Introductionmentioning
confidence: 99%
“…Continuous variations in the passenger flow and cabin load influence the path that the elevators choose [24]. Several reasons justify performing a deep analysis of the traffic in the building before programming a dispatching algorithm.…”
Section: Approaches To Traffic Pattern Recognitionmentioning
confidence: 99%
“…Elevators are another example of transportation systems exhibiting nontrivial out-of-equilibrium behaviors. The multiple elevators move as clusters in the crowded case, which seem similar to traffic jams [11][12][13][14][15][16][17][18][19][20]. However, the elevators exhibit different spontaneous ordering from the traffic jam as the out-of-equilibrium oscillators.…”
Section: Introductionmentioning
confidence: 99%
“…Such difference can be simply interpreted as the difference in the volume exclusion effect of vehicles. Since elevators interact with each other through the existence of waiting passengers instead of the volume exclusion effect, it was found that the clustering of elevators emerges by increasing rather the mean number of passengers coming in a unit time, or the inflow, than the vehicle density [11][12][13][14][15][16][17][18][19][20]. The dependence of dynamics on the inflow is reported in various scenarios, such as during downand up-peak periods [11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation