pacific nw transportation consortium region 10 Pactrans

Understanding Human-centered AI through Data Integration and Analytics

PI: Ahmed Abdel Rahim (UI), ahmed@uidaho.edu, ORCID: 0000-0001-9756-554X

Co PIs: Masoumeh Heidari Kapourchali (UAA), David Y. Yang (PSU), Jia Li (WSU), Rick Sheldon (UI), Yinhai Wang (UW)

AMOUNT & MATCH: $150,000 federal from PacTrans; $150,000 federal Match

PERFORMANCE PERIOD: 8/16/2023 – 8/15/2025

STATUS: Active

CATEGORIES: AI, Mobility, Workforce Development, Education

UTC PROJECT DOCUMENTATION:

FINAL PROJECT REPORT: will be available once completed

PROJECT DATA: will be available once completed

DESCRIPTION:  This project intends to develop course modules and tools for students to understand human-centered 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 our 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 our 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, we will build coalitions with local, tribal, state, regional, and national collaborators, and AI vendors to ensure that our education activities address emerging issues in Machine Learning and human-centered AI applications.