Abstract
Transit networks and their components are complex spatiotemporal features. To support advanced applications such as distributed transit trip planners, an efficient data model for representing, encoding and sharing complex features is indispensable. This paper presents a transit network data model with GML schemas for data encoding and sharing. The data model and schemas are implemented in an experimental distributed transit trip planner composed of two independent transit agencies and a distributed trip planning engine. Effectiveness of the data model and schemas are demonstrated by the implementation. The paper also addresses issues related to complex features modeling and data sharing by GML.
Original language | English (US) |
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Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Journal of Spatial Science |
Volume | 53 |
Issue number | 1 |
DOIs | |
State | Published - 2008 |
Keywords
- Complex feature
- Data model
- GML
- Schema
- Transit trip planner
ASJC Scopus subject areas
- Geography, Planning and Development
- General Energy
- Atmospheric Science