00935374

Component

https://doi.org/10.3141/1804-07

http://scholar.google.com...Hine&publication_year=2002

Metadata--information about data sets--allow clear understanding of exactly what the elements and structure of a given data set entail. Metadata in conjunction with XML-based specifications, schemas, and tools allow a high level of automated and validated interworking between different types and sources of data. This is an issue of emerging importance to transportation, traffic, and planning, and the communities they serve, as these areas are all data intensive but with very different views of the world. The potential of this linkage is outlined, and a progression is made through a simple example metadata specification for nonmotorized transport, the agreements developed by the geospatial community for geographic data and the transport layers within them, and the formal XML document. The XML specification and validation approach now makes possible and practical a more effective and more accessible use of the information in the multiple fields linked through their involvement in transportation. The key outcome required is a vocabulary (or integrated vocabularies) of globally agreed-upon metadata element definitions for the various fields in and overlapping transportation. The advent of formal document specifications of which XML is a widely used example would then allow a significant expansion of the accessibility, use, and reuse of such data to the great benefit of the user, policy, and analysis user communities.

This paper appears in Transportation Research Record No. 1804, Transportation Data and Information Technology Research.

English

p. 48-55

2002

Transportation Research Record

0309077303

Figures (2) ; References (17)

Metadata; Planning; Traffic; Transportation; XML (Document markup language)

Data access

Operations and Traffic Management; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 10 2003 12:00AM

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• DYNAMIC CAMERA CALIBRATION IN SUPPORT OF INTELLIGENT TRANSPORTATION SYSTEMS
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• MEASURING VARIABILITY IN TRAFFIC CONDITIONS BY USING ARCHIVED TRAFFIC DATA
• MONTE CARLO SIMULATION IN SAMPLING TECHNIQUES OF TRAFFIC DATA COLLECTION
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• RECONSIDERATION OF SAMPLE SIZE REQUIREMENTS FOR FIELD TRAFFIC DATA COLLECTION WITH GLOBAL POSITIONING SYSTEM DEVICES
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• SIMULATION STUDY OF ESTIMATION OF INDIVIDUAL SPECIFIC VALUES OF TIME BY USING ADAPTIVE STATED-PREFERENCE SURVEY
• SPATIAL BEHAVIORAL DATA: COLLECTION AND USE IN ACTIVITY SCHEDULING MODELS
• TECHNIQUES FOR BUILDING MULTIJURISDICTIONAL GEOGRAPHIC INFORMATION SYSTEM PLATFORMS FOR TRANSPORTATION ANALYSIS
• TEMPORAL DATA CONSTRUCTS FOR MULTIDIMENSIONAL TRANSPORTATION GEOGRAPHIC INFORMATION SYSTEM APPLICATIONS
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• TRAVEL-TIME ESTIMATES OBTAINED FROM INTELLIGENT TRANSPORTATION SYSTEMS AND INSTRUMENTED TEST VEHICLES: STATISTICAL COMPARISON
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• XML-BASED TRANSIT TIMETABLE SYSTEM