Evaluation of the Exploratory Advanced Research Program (2022) / Chapter Skim
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Section 3 - Evaluation of EAR Program Outcomes and Impact
Section 3 - Evaluation of EAR Program Outcomes and Impact
Pages 24-34
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From page 24... ...
The exception to this condition is projects that create new research tools -- such as analytical methods, instrumentation, or data processing techniques -- where the end user is another researcher. To track immediate outputs, the evaluation team focused on the following instances of knowledge dissemination: • Scholarly journal articles, where results are validated and published for use by the research community; • Conference presentations communicating project activities and results to a specific audience; • Patents, where research results are encapsulated in an invention that can be protected as intellectual property; • Students who participate in EAR-funded projects and, therefore, receive training and expertise in both the research process and the projects' topic areas; • Datasets generated by research teams and opened for research use; and • Software or algorithms for data analysis.
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From page 25... ...
To provide a more comprehensive analysis of EAR-related publishing activity, the evaluation team searched for articles attributable to specific EAR Program research projects contained in the following data sources: 1. Dimensions (a bibliographic database of journal articles and conference proceedings)
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From page 26... ...
To further illustrate these connections, the publication data was used to construct a network analysis of coauthors using the VOSviewer bibliometric software package, developed at Leiden University in the Netherlands. This software calculates the number of publications associated with each unique coauthor and also the number of times that any two coauthors appear on the same publication.
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From page 27... ...
Dan Frangopol of Lehigh University is also a prominent author; he collaborated with Catbas on a project related to managing infrastructure maintenance under uncertain conditions. The authors were assigned a color using a community detection algorithm, illustrating clusters of authors who work in related subcommunities.
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From page 28... ...
Note: The VOSviewer software used to create Figure 3-2 automatically styles the names on more prominent clusters so they are more visible than the names on smaller clusters. Figure 3-2. Bibliometric network of EAR Program–related authors and coauthors.
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From page 29... ...
Patent Number Patent Title Contract Number Project Title US8861842B2 Method and Apparatus for DTFH61-07-H-00039 Layered Object Recognition System for Real-Time Pedestrian Pedestrian Collision Sensing Detection for Urban Driving US9506848B2 Frequency Doubling Antenna DTFH61-10-H-00004 Carbon Nanotube Based Self-Sensing Sensor for Wireless Strain and Concrete for Pavement Structural Health Crack Sensing Monitoring US9759811B2 Radar Vehicle Tracking DTFH61-14-C-00004 Innovative Applications for Emerging Real Time Data US9776916B2 Processes for Depositing DTFH61-13-H-00010 Development of Structural Carbon Nanoparticles upon Non- Nanotube-Based Sensing Composites for conductive Substrates Rehabilitation of Deteriorating and Fatigue-Damaged Steel Bridges US9799096B1 System and Method for DTFH61-14-C-00001 Automated Feature Extraction Processing Video to Provide Facial De-identification US10121055B1 Method and System for Facial DTFH61-14-C-00006 CMU Driver Behavioral Situational Landmark Localization Awareness System US10297855 Rechargeable Multi-cell DTFH61-10-H-00003 Roadway Wind-Solar Hybrid Power Battery Generation and Distribution System Towards Energy-Plus Roadways US10745320B2 Compositions of Matter DTFH61-13-H-00010 Development of Structural Carbon Comprising Nanoparticles and Nanotube-Based Sensing Composites for Non-conductive Substrates Rehabilitation of Deteriorating and Fatigue-Damaged Steel Bridges US10769459B2 Method and System for DTFH61-14-C-00007 DMask: A Reliable Identity Masking System Monitoring Driver Behavior for Driver Safety Video Data
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From page 30... ...
These projects had two major focus areas: extracting useful information from a naturalistic driving set, which included hundreds of hours of in-cabin and vehicular camera footage, and creating automated methods to obscure the faces of individuals captured on video to protect those subjects' privacy and confidentiality. The VA case illustrates how the EAR Program helped create new resources to expand research on emerging topics in transportation.
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From page 31... ...
The EAR Program also puts FHWA R&T staff directly in contact with members of the transportation research community, exposing them to state-of-the-art research efforts and helping them stay current on recent developments. 3.3.2 Application of EAR Research to Technical and Market Problems Exploratory advanced research is intended to identify potential breakthrough innovations, where new technologies and knowledge provide novel and radical means to overcome long-standing challenges in areas such as highway safety and road system efficiency.
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From page 32... ...
and Auburn University contributed directly to building renewed interest in this tech nology at a time when it had been waning. The findings from those groups prompted FHWA to fund three follow-on Phase 1 demonstration projects of TP in 2019 and, more recently, to award a Phase 2 demonstration contract to California PATH to work with freight shipping firms on field-testing truck platoons on public roads.
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From page 33... ...
While this function could be provided through the National Transportation Library, the collection of information from PIs and research partners on articles published, patent applications filed, students trained, and other outputs would require additional resources and staff effort within the EAR Program itself. • The EAR Program produces specific intangible benefits and impacts that are not commu nicated on a regular basis to stakeholders.
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From page 34... ...
This information could be collected through periodic interviews or surveys of PIs on completed EAR-funded projects and through conversations with external partners involved in previous EAR research efforts. That information could also be used to enhance current approaches to transition planning and communication strategies for active EAR projects because it would help PIs and FHWA staff appreciate the diverse benefits generated from EAR-funded research.
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