Modeling transit networks by GML for distributed transit trip planners

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 mode 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 feature modeling and data sharing by GML.

Original languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalJournal of Spatial Science
Volume53
Issue number1
StatePublished - Jun 2008

Fingerprint

Data structures
modeling
data network
Engines
Planning
engine
planning

Keywords

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

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Atmospheric Science
  • Energy(all)

Cite this

Modeling transit networks by GML for distributed transit trip planners. / Huang, Ruihong.

In: Journal of Spatial Science, Vol. 53, No. 1, 06.2008, p. 1-15.

Research output: Contribution to journalArticle

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