TY - GEN
T1 - A context-aware elevator scheduling system for smart apartment buildings
AU - Kwon, Ohhoon
AU - Bahn, Hyokyung
AU - Koh, Kern
PY - 2007
Y1 - 2007
N2 - Ubiquitous computing technologies are becoming increasingly a part of our daily lives. For example, in the ubiquitous home environments, plenty of context information can be obtained from various home sensors, and this information can be exploited for smart home activities. This paper presents a new elevator scheduling system for smart apartment buildings that exploits the ubiquitous sensor technologies. In the proposed elevator scheduling system, floor sensors are located at each floor of the apartment building and detect the candidate elevator passengers' behavior before they come to the elevator door and push the elevator call button. The detected information is then delivered to the elevator scheduling system through the building network and the elevator scheduling system utilizes this information in the efficient control of the elevator. Through extensive simulations with various passengers' traffic conditions, we show that the proposed system performs better than the conventional elevator scheduling system in terms of the passengers' average waiting time, the maximum waiting time, and the energy consumption of the elevator significantly.
AB - Ubiquitous computing technologies are becoming increasingly a part of our daily lives. For example, in the ubiquitous home environments, plenty of context information can be obtained from various home sensors, and this information can be exploited for smart home activities. This paper presents a new elevator scheduling system for smart apartment buildings that exploits the ubiquitous sensor technologies. In the proposed elevator scheduling system, floor sensors are located at each floor of the apartment building and detect the candidate elevator passengers' behavior before they come to the elevator door and push the elevator call button. The detected information is then delivered to the elevator scheduling system through the building network and the elevator scheduling system utilizes this information in the efficient control of the elevator. Through extensive simulations with various passengers' traffic conditions, we show that the proposed system performs better than the conventional elevator scheduling system in terms of the passengers' average waiting time, the maximum waiting time, and the energy consumption of the elevator significantly.
UR - http://www.scopus.com/inward/record.url?scp=38749118326&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-77368-9_36
DO - 10.1007/978-3-540-77368-9_36
M3 - Conference contribution
AN - SCOPUS:38749118326
SN - 3540773673
SN - 9783540773672
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 362
EP - 372
BT - Advances in Hybrid Information Technology - First International Conference, ICHIT 2006, Revised Selected Papers
PB - Springer Verlag
T2 - 1st International Conference on Hybrid Information Technology, ICHIT 2006
Y2 - 9 November 2006 through 11 November 2006
ER -