FHWA >
Policy >
Office of Highway Policy Information >
HSS
> Presentations
ITS as a Traffic Data Resource.
Workshop C6
Ralph Gillmann at FHWA
ITS Traffic Data Collected
- Traffic volume
- Traffic speed
- Vehicle classification
- Traffic incidents
- Lane occupancy
- Road and weather conditions
- Current & scheduled work zones

Archived Data Management Systems (ADMS)
- Data sharing and re-use ("
Collect one time, use many times"
)
- Integrated data archiving (ITS and non-ITS data sources)
- For operations, planning, & policy (ITS and non-ITS applications)
ADMS Websites
Other ADMS's
- ADMS Virginia
- Cincinnati ARTIMIS
- Detroit MITS
- iFlorida Data Warehouse
- Mobility Technologies®
Caltrans PeMS ADMS

Caltrans PeMS.Detector Health

Caltrans PeMS.ADT Variation

Houston ITS Data

Houston Travel Times

Maryland CATT ADMS

Maryland CATT Plot

MnDOT TMC ADMS

MnDOT TMC Plot

ADUS Website

ITS Data Standards
- ASTM Archived Data User Service Subcommittee (E17.54): a) Standard Guide for Archiving and Retrieving ITS-Generated Data (E 2259-03), and b) Metadata and traffic data standards
- NTCIP Data Collection Monitoring (DCM) i.e. Object Definitions for DCM (NTCIP 1206)
Traffic Data Quality Measurement
- Action Plan recommendation
- Define traffic data quality metrics (i.e. Accuracy, Completeness, Validity, Timeliness, Coverage, Accessibility)
- Framework for traffic data quality
- Guidance on traffic data quality
ADUS Cross-Cutting Study
- Linking Operations & Planning Data (i.e. Benefits and costs)
- Focus on improved: a) planning, b) program assessment, c) traveler information, and d) operations
- Report early 2005
Applications of Archived Data Operational Test
ADMS Virginia:
- Virginia DOT / Univ. Va.
- Hampton Roads
- Smart Traffic Center
Field Operational Test:
- Improved TMC operations
- Improved regional planning
- Improved traveler information
Mobility Monitoring.Program
Objectives:
- Monitor mobility and reliability trends
- Provide "
proof of concept"
and technical assistance
Archived data from 23 cities:
- Very detailed data
- Point-based sensors
- Computer-intensive processing
Questions?.Comments?.Examples?