DocumentCode
170546
Title
A novel method for group movement pattern analysis
Author
Qiang Yang ; Bing Huang ; Xiaojun Zeng
Author_Institution
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear
2014
fDate
16-18 May 2014
Firstpage
519
Lastpage
524
Abstract
Group movement pattern analysis can provide an important basis for decision support for decision-makers in the fields such as group emergency treatment, a large-scale military action and so on. On the basis of the analysis of individual mobility patterns based on the path description graph, this paper proposes a new analysis method of group mobility patterns based on the convex hull-the gravity center model, which focuses on describing group mobility state in the situation as a whole, describing the group coverage in the whole space with the convex hull, the group members distribution in the area of coverage with gravity center and the geometric center, and through the center vector and the core vector to describe the spatial layout reasonable degree of group members. Considering the convex hull, the vertices, the centers and the core of a group, several models were proposed to describe the group dispersion. Compared with the traditional group mobility patterns, it is more reasonable and comprehensive to describe and analyze the group mobility pattern itself on the whole. In addition, the experimental analysis combining with the application background confirmed that the method can accurately extract the group mobility state and behavior patterns, this might provide a technical support for the assessment of group actions.
Keywords
decision making; geometry; graph theory; mobile computing; decision support; decision-makers; geometric center; gravity center model; group actions; group dispersion; group emergency treatment; group mobility patterns; group mobility state; group movement pattern analysis; individual mobility patterns; large-scale military action; path description graph; spatial layout reasonable degree; Analytical models; Dispersion; Gravity; Pattern analysis; Time series analysis; Trajectory; Vectors; convex hull; group dispersion; group mobility pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-2033-4
Type
conf
DOI
10.1109/PIC.2014.6972389
Filename
6972389
Link To Document