Generative Artificial Intelligence (AI) Enabled Pilot for NOCoE Knowledge Center
- Aug 11, 2023
- Focus Area
- Transportation Systems Management & Operations
- Submitting On Behalf Of
- Other: National Operations Center of Excellence (NOCoE)
- Urgency
- Important - Medium Priority
- Cost
- $100,000 - 249,000
- Timeframe
- 1 - 2 years
- Type of Research
- Full Research Project
- Date Posted
- Aug 11, 2023
- Status
- Not Funded
Research Description
The National Operations Center of Excellence (NOCoE) Knowledge Center is the center-piece of NOCoE’s website. It houses over 2300 resources on diverse topics of interest for the TSMO practitioners including case studies; research studies; FHWA, state and local agency resources etc. It also features search capabilities including advanced search capabilities to facilitate users in quickly searching and shortlisting the resources of interest. The knowledge center is the most accessed site for NOCoE. The innovation of Generative AI tools offers an opportunity in curating, synthesizing and managing knowledge. It has a potential of leveraging the NOCoE knowledge center resources to curate new knowledge such as producing an initial draft of literature review, produce executive summaries and respond to user prompts and questions to provide detailed insightful feedback from the library of existing resources. The Generative AI tools are poised to revolutionize knowledge management. For the NOCoE knowledge center users, such tools can reduce the time and effort required to search, process and curate knowledge for their use. For NOCoE staff it will reduce manual effort needed in scanning TSMO resources available through state and local agency websites. The proposed research will develop a concept and design of a generative AI enable knowledge management pilot for NOCoE’s knowledge center. It will research the generative AI capabilities, tools, processes and methods to propose the appropriate concept and design applicable to NOCoE, Transportation Operations Manual (TOM) and other similar transportation knowledge resources such as FHWA and state DOT resources. The research will also survey the user needs, study the interface and recommend ideas for user prompts that will generate the knowledge that best meets the user requirements. An essential element of the research will be to study how generative AI is automatically synthesizing the knowledge from existing NOCoE and TOM effective practices content and provide examples of synthesized information for various TSMO applications and user needs. The study will document a pilot for implementation within the NOCoE knowledge center.
Additional Supporting Information
Contact - Faisal Saleem (fsaleem@aashto.org) or Adam Hopps (AHopps@transportationops.org)
- Submitted By
- Faisal Saleem
- AASHTO - NOCoE
- 202-624-5478
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