ACM Home Page
Please provide us with feedback. Feedback
ST--ACTS: a spatio-temporal activity simulator
Full text PdfPdf (337 KB)
Source Geographic Information Systems archive
Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems table of contents
Arlington, Virginia, USA
SESSION: Location-based services table of contents
Pages: 155 - 162  
Year of Publication: 2006
ISBN:1-59593-529-0
Authors
Gyozo Gidofalvi  Geomatic aps
Torben Bach Pedersen  Aalborg University
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1183471.1183498
What is a DOI?

ABSTRACT

Creating complex spatio-temporal simulation models is a hot issue in the area of spatio-temporal databases [7]. While existing Moving Object Simulators (MOSs)address different physical aspects of mobility, they neglect the important social and geo-demographical aspects of it. This paper presents ST-ACTS, a Spatio-Temporal ACTivity Simulator that, using various geo-statistical data sources and intuitive principles, models the so far neglected aspects. ST-ACTS considers that (1)objects (representing mobile users)move from one spatio-temporal location to another with the objective of performing a certain activity at the latter location; (2)not all users are equally likely to perform a given activity; (3)certain activities are performed at certain locations and times; and (4)activities exhibit regularities that can be specific to a single user or to groups of users. Experimental results show that ST-ACTS is able to effectively generate realistic spatio-temporal distributions of activities, which make it essential for the development of adequate spatio-temporal data management and data mining techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
The Gallup Organization:http://www.gallup.com/
 
3
Geomatic ApS-Center for Geoinformatik: http://www.geomatic.dk
 
4
T. Hägerstrand. "Space, time and human conditions." In Dynamic allocation of urban space, ed. A. Karlqvist et. al. Lexington: Saxon House Lexington Book, 1975.
 
5
H. Hu and D. L. Lee. GAMMA: A Framework for Moving Object Simulation. In Proc. of SSTD, pp. 37--54, 2005.
 
6
D. Pfoser and Y. Theodoridis. Generating Semantics --Based Trajectories of Moving Objects. In Proc. of Emerging Technologies for Geo-Based Applications, pp. 59--76, 2000.
 
7
J. F. Roddick, M. J. Egenhofer, E. Hoel, D. Papadias, and B. Salzberg. Spatial, Temporal and Spatio-Temporal Databases-Hot Issues and Directions for PhD Research. In Proc. of SSTD, pp. 1--6, 2003.
 
8
 
9
 
10
Statistics Denmark: http://www.dst.dk
 
11


Collaborative Colleagues:
Gyozo Gidofalvi: colleagues
Torben Bach Pedersen: colleagues