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SUMMARY
STRATEGIC ISSUES FOR IMPROVED MONITORING TO SUPPORT TRANSPORTATION OPERATIONS
Date :
Nov 27, 2001
Location
:
TRB – Washington DC
Attended By
:
Representatives
from TRB, AASHTO, State DOTs, FHWA, academia, private sector
Goal:
Discuss
a draft white paper leading to the development of a document that can be
circulated for wider discussion and consensus development
Strategic Issues to be Explored
·
Developing a common understanding of the types and density of information
needed to manage, use, and plan the future of transportation facilities; •
Planning and funding to deploy and maintain
monitoring technology to collect the needed information; •
Methods to turn data gathered by monitoring
technology into useful information; •
Establishing institutions with the authority
and accountability to manage transportation facilities and assist users through
application of the information; •
Institutional arrangements for keeping
and sharing the information while protecting privacy of the individuals represented
in the data; and •
Support for ongoing improvements to technology
for monitoring, data processing, and information dissemination. Main Points of Discussion at
the Meeting
·
Attempt to identify the data requirements for transportation management
and operations, as a first step toward defining, developing, and implementing
the necessary data systems.
·
Discuss reaching consensus on:
o
What functions in operations require data?
o
What questions need to be answered to serve those functions?
o
What categories of data are needed to answer those questions?
o
Over how much of the highway system should we be collecting that data?
o
Are there parts of the highway system that require different levels or
types of data collection?
o
Bringing it together: a proposed outline of data requirements.
Issues Raised at the Meeting
·
Defining what is meant by operations – what are the operational decision
boundaries that data must support?
·
What are the most useful ways to classify data requirements – by operation
function, information category, by static and dynamic data types
Next Steps
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