Paper Info
Title
Intellevator: An Intelligent Elevator System Proactive in Traffic Control for Time-Efficiency Improvement.
Abstract
Elevator functioning as a vertical transport facility remains stand-alone and incapable of accessing the fine-grained traffic information. It significantly restricts the flexibility and efficiency of vertical transporting. In particular, while in peak-time, the limited elevator physical capacity with the momentary traffic increment gives rise to the vertical traffic bottleneck problem in large-scale buildings. The problem further results in the long waiting, dissatisfaction, frustration of passengers. In this paper, we present our proposal named Intellevator: an intelligent elevator system that enables the passively functioning elevator system be proactive and intelligent in traffic control for optimizing the transport efficiency. The proposal is an end-to-end architecture that composed of three aspects: Internet of things (IoT)-enabling technology on a conventional elevator; an agent server to enhance elevator computational capability and a novel user interface for delivering system intelligence to end-users. The proposal was experimented on a conventional elevator in a built smart-building environment. Numerical simulation results have demonstrated the system efficiency improvement. In addition, the system usability and user experience have been evaluated by a user study as well.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2975020
IEEE ACCESS
Keywords
DocType
Volume
Elevators,User interfaces,Proposals,Optimization,Internet of Things,Servers,Elevator,Internet of Things,traffic control,adaptive computing,user interface
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Hangli Ge100.34
Takeo Hamada200.34
Takahiro Sumitomo312.40
Noboru Koshizuka422546.68