Smart Transportation Workshop for Workforce Development Empowering AI and IoT Technologies

This project enhances the integration of emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) into the modern transportation sector and the education sector. It represents a fusion of research, education, and workforce development, focusing on how advanced technologies can address real world challenges in transportation systems. From the research side, this project will guide students to conduct research on applying Artificial Intelligence (AI) to solve practical transportation problems. Such as developing lightweight predictive real-time AI framework for smart city developing that utilizes low resolution IoT sensor data from drones and self-driving cars. This framework can be applied to construction and maintenance planning, infrastructure health monitoring, and traffic pattern optimization. Another research topic focus is enhancing AI robustness with low quality and uncertain IoT sensor data. This part of the research will develop methods to improve the resilience of AI frameworks against unreliable or noisy sensor inputs and will improve model robustness in autonomous systems (such as self-driving cars, AI-powered monitor systems) under adverse conditions such as heavy rain or when sensors are faulty or inaccurate. From the education and workforce development (EWD) side, this project will also hold annual workshops and seminars that provide hands on training and experiences for students to apply emerging technology in the transportation sector. It will also develop new interdisciplinary education models that integrate computer science and civil engineering with emerging technologies and transportation applications, addressing a gap that currently exists in undergraduate education. Overall, the project will produce state of the art research contributions in AI and IoT enabled transportation. It will provide practical training through workshops, seminars, and hands on projects. It will Smart Transportation Workshop for Workforce Development Empowering AI and IoT Technologies create interdisciplinary education models that bridge emerging technologies and transportation engineering. It will strengthen the workforce pipeline prepared to apply AI and IoT in transportation innovation.

Language

• English

Project

• Status: Active
• Funding: $601,279.00
• Contract Numbers:

  69A3552344813

  69A3552348318

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  National Center for Infrastructure Transformation

  Prairie View A&M University
  Prairie View, TX  United States  77446
• Performing Organizations:

  Prairie View A&M University

  Department of Civil & Environmental Engineering
  P.O. Box 519
  Prairie View, TX  United States  77446
• Principal Investigators:

  Wang, Lening

• Start Date: 20260201
• Expected Completion Date: 20280131
• Actual Completion Date: 20280131
• USDOT Program: University Transportation Centers
• Source Data: 03-43-PVAMU

Subject/Index Terms

• TRT Terms: Artificial intelligence; Internet of things; Smart cities; Workforce development
• Subject Areas: Data and Information Technology; Education and Training; Safety and Human Factors;

Filing Info

• Accession Number: 02001909
• Record Type: Research project
• Source Agency: National Center for Infrastructure Transformation
• Contract Numbers: 69A3552344813, 69A3552348318
• Files: UTC, RIP
• Created Date: Sep 10 2026 8:33AM