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event-based data model for transportation information systems

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Date Issued:
1998
Summary:
Trip-based data can provide important information about travel patterns and travel characteristics of people. To handle this type of transportation movement data in GIS (Geographic Information Systems), a new data model is needed to incorporate different aspects of a transportation movement with its spatial properties. From the study presented in this thesis, an event-based data model for transportation movement data was developed with the concepts of object orientation, feature-based approach, and relative referencing methods. The implementation of this new data model with a prototype system shows the capability of this data model in handling transportation movement data. This data model has also improved the information retrieval ability provided by the current GIS data models.
Title: An event-based data model for transportation information systems.
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Name(s): Wang, Dongmei
Florida Atlantic University, Degree Grantor
Shaw, Shih-Lung, Thesis Advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1998
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 124 p.
Language(s): English
Summary: Trip-based data can provide important information about travel patterns and travel characteristics of people. To handle this type of transportation movement data in GIS (Geographic Information Systems), a new data model is needed to incorporate different aspects of a transportation movement with its spatial properties. From the study presented in this thesis, an event-based data model for transportation movement data was developed with the concepts of object orientation, feature-based approach, and relative referencing methods. The implementation of this new data model with a prototype system shows the capability of this data model in handling transportation movement data. This data model has also improved the information retrieval ability provided by the current GIS data models.
Identifier: 9780591930108 (isbn), 15587 (digitool), FADT15587 (IID), fau:12347 (fedora)
Note(s): Thesis (M.A.)--Florida Atlantic University, 1998.
Subject(s): Information storage and retrieval systems--Transportation
Geographic information systems
Trip generation
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/15587
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.