Field data acquisition technologies for Iowa transportation agencies.
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1994-08-01
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Edition:Final report.
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Abstract:This report describes the results of the research project investigating the use of
advanced field data acquisition technologies for lowa transponation agencies. The
objectives of the research project were to (1) research and evaluate current data
acquisition technologies for field data collection, manipulation, and reporting; (2)
identify the current field data collection approach and the interest level in applying
current technologies within Iowa transportation agencies; and (3) summarize
findings, prioritize technology needs, and provide recommendations regarding
suitable applications for future development. A steering committee consisting of
state, city, and county transportation officials provided guidance during this project.
Technologies considered in this study included (1) data storage (bar coding, radio
frequency identification, touch buttons, magnetic stripes, and video logging); (2) data
recognition (voice recognition and optical character recognition); (3) field
referencing systems (global positioning systems [GPS] and geographic information
systems [GIs]); (4) data transmission (radio frequency data communications and
electronic data interchange); and (5) portable computers (pen-based computers). The
literature review revealed that many of these technologies could have useful
applications in the transponation industry.
A survey was developed to explain current data collection methods and identify the
interest in using advanced field data collection technologies. Surveys were sent out to
county and city engineers and state representatives responsible for certain programs
(e.g., maintenance management and construction management). Results showed that
almost all field data are collected using manual approaches and are hand-carried to
the office where they are either entered into a computer or manually stored. A lack of
standardization was apparent for the type of software applications used by each
agency--even the types of forms used to manually collect data differed by agency.
Furthermore, interest in using advanced field data collection technologies depended
upon the technology, program (e.g.. pavement or sign management), and agency type
(e.g., state, city, or county). The state and larger cities and counties seemed to be
interested in using several of the technologies, whereas smaller agencies appeared to
have very little interest in using advanced techniques to capture data. A more
thorough analysis of the survey results is provided in the report.
Recommendations are made to enhance the use of advanced field data acquisition
technologies in Iowa transportation agencies: (1) Appoint a statewide task group to
coordinate the effort to automate field data collection and reporting within the Iowa
transportation agencies. Subgroups representing the cities, counties, and state should
be formed with oversight provided by the statewide task group. (2) Educate
employees so that they become familiar with the various field data acquisition
technologies.
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