Understanding Human-centered AI through Data Integration and Analytics
This project intends to develop course modules and tools for students to understand human-centered artificial intelligence (AI) methods and data requirements, conduct specific mobility analysis using AI-empowered technologies, and build multimodal technology solutions to improve mobility. TRB Special Report 275: The Workforce Challenge highlighted data and analysis needs as critical for future transportation professionals. Therefore, this education project will help build the data component currently weak or missing in transportation curricula. Also, the USDOT RD&T Strategic Plan highlights AI as an important technology and skill set for the next-generation transportation workforce. Thus, this project can also help train the future workforce for effective use of AI technologies in their practice. The project outcome will deliver AI-based data integration and analytics education and workforce development modules that provide the transportation workforce with the knowledge and tools needed to assist them in improving the safety and efficiency of the nation’s transportation system through innovative human-centered AI transportation applications. The project outreach and technology transfer plan will provide greater access to continuing education and workforce development opportunities to meet the evolving needs of the transportation community at the local, tribal, state, regional, and national levels. Additionally, as part of the project tasks, the research team will build coalitions with local, tribal, state, regional, and national collaborators, and AI vendors to ensure that the education activities address emerging issues in Machine Learning and human-centered AI applications.
Language
- English
Project
- Status: Active
- Funding: $150,000.00
-
Sponsor Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700University of Washington, Seattle
Washington State Transportation Center
1107 NE 45th Street
Seattle, WA United States 98105National Institute for Advanced Transportation Technology
University of Idaho, Moscow
115 Engineering Physics Building
Moscow, ID United States 83844-0901University of Alaska, Anchorage
Department of Civil Engineering
3211 Providence Drive
Anchorage, AK United States 99508Washington State University, Pullman
Washington State Transportation Center
Pullman, WA United States 99164 Urban Studies and Planning
P.O. Box 751
Portland, Oregon United States 97207Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700 Department of Civil Engineering
P.O. Box 441022
Moscow, ID United States 83844-1022 -
Project Managers:
Abdel-Rahim, Ahmed
Sheldon, Fredrick
Li, Jia
Wang, Yinhai
Yang, David
-
Performing Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700 -
Principal Investigators:
Abdel-Rahim, Ahmed
Sheldon, Fredrick
Li, Jia
Wang, Yinhai
Yang, David
- Start Date: 20230816
- Expected Completion Date: 20290815
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Artificial intelligence; Curricula; Data analysis; Education; Mobility; Multimodal transportation; Personnel development
- Subject Areas: Data and Information Technology; Education and Training; Safety and Human Factors; Transportation (General);
Filing Info
- Accession Number: 01975029
- Record Type: Research project
- Source Agency: Pacific Northwest Transportation Consortium
- Files: UTC, RIP
- Created Date: Dec 22 2025 8:02PM