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Spatial-temporal Data Archiving in Highway Railroad Grade Crossings Databases

Explore the archiving capability of spatio-temporal data in different databases used for highway railroad grade crossings. Learn about relational, GIS spatial, and constraint databases, their strengths, limitations, and representations. Discover how these databases handle time, spatial relationships, and data elements effectively.

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Spatial-temporal Data Archiving in Highway Railroad Grade Crossings Databases

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  1. UNIVERSITY OF NEBRASKA-LINCOLN Archiving Capability of Spatio-temporal Data in Different Highway Railroad Grade Crossings Databases Hang Yue, Graduate Research Assistant Elizabeth G. Jones, Ph.D., Associate Professor University of Nebraska-Lincoln

  2. UNIVERSITY OF NEBRASKA-LINCOLN Relational Databases • Strengths • Widely used • Powerful tools • Limitations • Limited ability to capture spatial relationships • Time must be represented in a discontinuous way UNL HRGC Relational Database Representation

  3. UNIVERSITY OF NEBRASKA-LINCOLN GIS Spatial Databases • Strength • Combine time with traffic attributes and continuous spatial data • Limitation • Time is also discontinuous in GIS UNL HRGC Geo-spatial Database Representation

  4. UNIVERSITY OF NEBRASKA-LINCOLN Constraint Databases • Strengths • Time-dependent, multi-dimensional, relative space • Dynamic view of multiple data elements • Limitation • Models of geographic elements (due to current software limitations) UNL HRGC Constraint Database Representation

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