Paper Info
Title
aCN-RB-tree: Update Method for Spatio-Temporal Aggregation of Moving Object Trajectory in Ubiquitous Environment
Abstract
Moving object management is popular with traffic, logistic and data mining applications in ubiquitous environment. Our previous research focused on efficient index structure for spatio-temporal aggregation of trajectory in a constrained network, named aCN-RB-tree. It manages aggregation values of trajectories using constraint network based index. Also, it supports direction of trajectory, efficient search for traffic zone and trajectory of the time interval. In this paper, we proposed update method of aCN-RB-tree, considering moving object features. The method updates index efficiently as it divided moving object data by area and time. It supports traffic management systems and mining systems in ubiquitous environment.
Year
DOI
Venue
2009
10.1109/ICCSA.2009.30
ICCSA Workshops
Keywords
Field
DocType
constraint network,efficient index structure,object feature,traffic zone,ubiquitous environment,object data,aggregation value,data mining application,object management,object trajectory,traffic management system,spatio-temporal aggregation,update method,ubiquitous computing,data mining,indexation,traffic management,traffic management systems,it management
Data mining,Advanced Traffic Management System,Computer science,Red–black tree,Ubiquitous computing,Trajectory
Conference
Citations 
PageRank 
References 
1
0.51
9
Authors
3
Name
Order
Citations
PageRank
Dongwook Lee141862.32
Sung Ha Baek282.68
Hae-Young Bae37831.47