Impact on pavement network condition when converting an agency’s data collection process from manual or semi-automated, to fully automated methods.
Departments of Transportation (DOT) have in recent years transitioned to fully
automated pavement condition data collection technologies. However, DOT’s often do not change their
protocol for capturing and storing the data due to fears that historical
information may be lost or for other reasons.
However, agencies may be missing out on significant capability and
detail in the data that could be used to drive more effective pavement
most DOT’s, pavement condition data was originally collected using manual,
windshield surveys. For the agencies
that were employing distress-based measurements, the protocols used were likely
developed in-house, and were focused on making the job of the surveyors as easy
as possible in an effort to ensure data could be collected safely while also
being able to collect relatively quality data.
This often leads to the older protocol not being well defined or suited
to automated data collection, making it harder for data collection vendors to
meet the data requests of the agency.
industry rises to the challenge, quite often they are caught between trying to
meet the agency request and struggling to get the tools to achieve the agency’s
data goals. In the absence of a standard
national protocol for all agencies to follow for pavement data collection, more
research needs to be done to develop processes and technology to make automated
data collection more adaptable.
1) Determine the state of the practice in data collection
protocols among State DOTs.
the technical capabilities, both equipment and processing algorithms, of data
collection vendors to convert raw measurements to agency protocol.
3) Determine what distress definitions that agencies are
using that are especially difficult to adapt to automated data collection.
4) Determine what distress definitions that agencies are
using that are easier and more consistently provide high quality results.
a process or tool that an agency can adopt that provides a more adaptable
crossover from raw measurements to an agency’s specific protocol.
6) From this study, make
recommendations toward a national standard for automated data collection
following are the potential benefits of this study:
can expect higher quality, more repeatable and accurate data coming from the
data collection vendor.
can change vendors without having to worry about the data quality changing.
collection costs may decrease since processing could require less calibration.
Vendors will have less risk in their projects due to
concerns of meeting an agency’s specific protocol.
number of studies exist that discuss the transition from manual to automated data
collection methods. Some highlight
specific agency experiencesi, while others focus on developing
transitional protocols to align manual to automated methodsii. This research study will focus more deeply on
adaptability of technology and data processing algorithms across agency
protocols while maintaining the quality and integrity of the data output.
i Sivaneswaran, N., Pierce, L.M., and Mahoney,
J.P. (2004), “Transition from Manual to Automated Pavement Condition Surveys:
Washington State’s Experience”, 6th International Conference on Managing
Pavements, Brisbane, Queensland, Australia.
ii Chan, S., Cui, S., Lee, S. (2016), “Transition
from Manual to Automated Pavement Distress Data Collection and Performance
Modelling in the Pavement Management System”, Conference of the Transportation
Association of Canada, Toronto, ON.
research will include the following tasks:
a literature review of state of the practice in State DOT data collection
protocols. Determine which have not
modified their protocols as a result of a change in data collection processes.
a literature review to determine the technical capabilities, both equipment and
processing algorithms, of data collection vendors to convert raw measurements
to agency protocol.
Develop an adaptable process or analysis tool that can
convert raw automated data collection measurements effectively regardless of
the protocol adopted by the agency.
Demonstrate the results of the study using available data
sets and compare across separate data protocols the ability to convert the data
to actionable pavement management data.
Develop a set of standard agency protocols that can be
recommended to agencies when adopting automated data collection methods based
on how easily adaptable they may be.
Future Research Needs.
Tasks included in this needs statement are identified to specifically create adaptable processes, tools and protocols to facilitate incorporation of results from this effort into agencies existing asset management plans and practices.
Asset Management, Planning
|Sponsoring Committee:||AFD20, Pavement Monitoring and Evaluation
|Research Period:||12 - 24 months|
|RNS Developer:||Aaron Gerber|
|Source Info:||Committee members, State Agencies, Transportation Asset Management Conferences and workshops|
|Index Terms:||Data collection, Automatic data collection systems, Automation, Pavement management systems, Pavement distress, |
|Cosponsoring Committees:||AFD10, Pavement Management Systems|
Data and Information Technology
Maintenance and Preservation