Modeling transit networks by gml for distributed transit trip planners

R. Huang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalJournal of Spatial Science
Issue number1
StatePublished - 2008


  • Complex feature
  • Data model
  • GML
  • Schema
  • Transit trip planner

ASJC Scopus subject areas

  • Geography, Planning and Development
  • General Energy
  • Atmospheric Science


Dive into the research topics of 'Modeling transit networks by gml for distributed transit trip planners'. Together they form a unique fingerprint.

Cite this