Spatiotemporal Object Database Approach to Dynamic Segmentation
Abstract
Dynamic segmentation is viewed as one of the most important functions of geographic information systems for transportation applications. Although the road network and associated events (e.g., pavement material, traffic volume, incidents) can be referenced to both space and time, the spatial and temporal dimensions have not been well integrated. Modeling space-varying, time-varying, and space-time-varying events in dynamic segmentation by using an object database approach that is in line with the Object Database Management Group standard is explored. A mechanism called parametric polymorphism is used to lift conventional data types to spatial, temporal, and spatiotemporal types for maintaining knowledge about events that could change spatially, temporally, and spatiotemporally along linear features. An associated object query language, DS-OQL, was designed to support the formulation of spatial, temporal, and spatiotemporal queries on the road and event information.
Get full access to this article
View all access and purchase options for this article.
References
1. Dueker K. J., and Butler J. A. GIS-T Enterprise Data Model with Suggested Implementation Choices. Center for Urban Studies, Portland State University, Portland, Oreg., 1997.
2. Fletcher D. R. Geographic Information Systems for Transportation: A Look Forward. In Transportation in the New Millennium: State of the Art and Future Directions (CD-ROM). TRB, National Research Council, Washington, D.C., 2000.
3. Goodchild M. F. GIS and Transportation: Status and Challenges. GeoInformatica, Vol. 4, No. 2, 2000, pp. 127–139.
4. Miller H. J., and Shaw S. L. Geographic Information Systems for Transportation: Principles and Applications. Oxford University Press, New York, 2001.
5. Thill J. C. Geographic Information System for Transportation in Perspective. Transportation Research C, Vol. 8, No. 1–6, 2001, pp. 3–12.
6. Fletcher D. Modelling GIS Transportation Networks. In Proc., URISA Annual Conference, Fort Lauderdale, Fla., 1987, pp. 84–92.
7. Nyerges T. L. Locational Referencing and Highway Segmentation in a Geographic Information System. ITE Journal, Vol. 60, No. 3, 1990, pp. 27–31.
8. Worboys M. F. A Generic Model for Planar Geographical Objects. International Journal of Geographical Information Systems, Vol. 6, No. 5, 1992, pp. 353–372.
9. Gunther O., and Lamerts J. Object-Oriented Techniques for the Management of Geographic and Environmental Data. The Computer Journal, Vol. 37, No. 1, 1994, pp. 16–25.
10. Herring J. R. TIGRIS: A Data Model for an Object-Oriented Geographic Information System. Computers and Geosciences, Vol. 18, No. 4, 1992, pp. 443–452.
11. Huang R., and Peng Z.-R. Object-Oriented Geographic Information System Data Model for Transit Trip-Planning Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 1804, TRB, National Research Council, Washington, D.C., 2002, pp. 205–211.
12. Vonderohe A. P., Chou C. L., Sun F., and Adams T. M. NCHRP Research Results Digest 218: A Generic Data Model for Linear Referencing Systems. TRB, National Research Council, Washington, D.C., 1997.
13. Adams T. M., Koncz N. A., and Vonderohe A. P. NCHRP Report 460: Guidelines for the Implementation of Multimodal Transportation Location Referencing Systems. TRB, National Research Council, Washington, D.C., 2001.
14. Huang B., and Claramunt C. STOQL: An ODMG-Based Spatio-Temporal Object Model and Query Language. In Advances in Spatial Data Handling (Richardson D. and Oosterom P., eds.), Springer-Verlag, New York, 2002, pp. 225–237.
15. Cattell R. G. G. (ed.). The Object Data Standard: ODMG Object Model 3.0. Morgan Kaufmann Academic Press, San Diego, Calif., 2000.
16. Atkinson M., Bancilhon F., DeWitt D., Dittrich K., and Zdonik S. The Object-Oriented Database System Manifesto. In Proc., First Object-Oriented and Deductive Database Conference, Kyoto, Japan, 1989, pp. 40–75.
17. Lin H., and Huang B. SQL/SDA: A Query Language for Spatial Analysis and Its Web-Based Implementation. IEEE Transactions on Knowledge and Data Engineering, Vol. 13, No. 4, 2001, pp. 671–682.
18. Bertino E., and Martino L. Object Oriented Database Systems: Concepts and Architectures. Addison-Wesley, Reading, Mass., 1993.
19. Cardelli L., and Wegner P. On Understanding Types, Data Abstraction and Polymorphism. ACM Computing Surveys, Vol. 17, No. 4, 1985, pp. 471–523.
20. Open GIS Consortium. OpenGIS Simple Features Specification for SQL (Revision 1.1). 1999. www.opengis.org/techno/specs/99-049.pdf.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published: January 2003
Issue published: January 2003
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 11
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 3
- An Unified CGA-Based Formal Expression of Spatio-Temporal Topological ...
- Discussion on Information Fusion Technologies for City Road Network
- Spatiotemporal analysis of rural–urban land conversion
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
