00965458

Component

https://doi.org/10.3141/1836-15

http://scholar.google.com...+Yao&publication_year=2003

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.

This paper appears in Transportation Research Record No. 1836, Initiatives in Information Technology and Geospatial Science for Transportation.

English

p. 118-125

2003

Transportation Research Record

0309085721

Figures (4) ; References (20) ; Tables (1)

Geographic information systems; Object oriented databases; Spatial analysis; Transportation

Dynamic segmentation; Object query language; Parametric polymorphism; Spatiotemporal data; Temporal data

Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Nov 7 2003 12:00AM

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