@article{cunningham_findley_hovey_foley_smith_fowler_chang_arnold_hummer_2016, title={Improved Asset Management and Inventory Development through Sample Analysis and Vendor-Client Communication}, volume={22}, ISSN={["1943-555X"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84958576470&partnerID=MN8TOARS}, DOI={10.1061/(asce)is.1943-555x.0000260}, abstractNote={AbstractThis study compared output from mobile inventory data collection vehicles to manually collected data techniques with a focus on two-way communications primarily through the submission of a sample data set to be analyzed prior to the submission of a full data set. The interim submittal and feedback to the vendors based on that resulted in a marked improvement in data quality for 5 of the 28 assets studied. After feedback, it is apparent that highway data collection vendors can accurately locate the vast majority of assets, with the primary exception being those that are occluded by vehicles or surrounding landscaping, such as those assets in the median. Along with the locations of assets, vendors showed promise at collecting many of the feature descriptions such as asset type and condition. Many of the elements (location, type, etc.) for a particular asset type that created collection difficulty were only problematic for a particular vendor, which suggests that further improvements may be achieved ...}, number={1}, journal={JOURNAL OF INFRASTRUCTURE SYSTEMS}, author={Cunningham, Christopher M. and Findley, Daniel J. and Hovey, Kyle and Foley, Paul Burke and Smith, Jessica and Fowler, Tyler and Chang, Jeff and Arnold, Jonathan and Hummer, Joseph E.}, year={2016}, month={Mar} }
 @article{findley_cunningham_chang_hovey_corwin_2013, title={Effects of License Plate Attributes on Automatic License Plate Recognition}, ISSN={["0361-1981"]}, url={http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000323141900006&KeyUID=WOS:000323141900006}, DOI={10.3141/2327-05}, abstractNote={ This paper describes an experiment designed to develop a comprehensive and thorough understanding of the readability of North Carolina's license plates with an automatic license plate recognition system. This research focused on law enforcement applications and used two infrared camera systems for data collection in a controlled environment involving more than 900 license plates. The field test was conducted in a controlled environment under the following settings and conditions: a test vehicle traveling at 25 mph, nighttime evaluation, closed test track, 40 ft of spacing of license plates, 9 ft of lateral offset between the license plates and camera, standard issue and specialty plate types, standard syntax and personalized plates, and various license plate ages and conditions. The key finding of this research project is that the current, standard issue license plate with characters in blue ink has the highest capture and read rates among the plates tested in this study. Factors that decreased the capture and read rates were personalized syntax, specialty license plates, and the presence of stacked characters on a specialty license plate. }, number={2327}, journal={TRANSPORTATION RESEARCH RECORD}, author={Findley, Daniel J. and Cunningham, Christopher M. and Chang, Jeffrey C. and Hovey, Kyle A. and Corwin, Michael A.}, year={2013}, pages={34–44} }