Exploring AI Technologies For Transportation Data Applications

Automation and the use of artificial intelligence (AI) are expected to significantly impact the future of how we live, work, and even interact with others. AI has endless potential for advantages such as automating tasks, increased productivity, reducing human errors, and analyzing large amounts of data—just to name a few. However, with the rapid growth and new development of this technology, integrating AI technology into existing systems may also pose significant social, ethical, and safety risks. In addition, regulatory issues may pose significant challenges since, currently, there is neither a single policy or approach that regulates how the data is used. Overcoming these challenges and the public's data privacy concerns will require responsible design decisions with ethics, transparency, and regulation at the forefront. While the private sector will primarily drive the progress of AI, the government plays a critical role in the oversight of how the technology will ultimately be used. This research would then inform Arizona Department of Transportation (ADOT) on the use, benefits, and challenges of using AI in collecting and utilizing quality transportation data. At some point, ADOT may determine that AI may be suitable for some noncritical functions within the organization.

Language

• English

Project

• Status: Programmed
• Funding: $0.00
• Contract Numbers:

  SPR-802

• Sponsor Organizations:

  Arizona Department of Transportation Research Center

  206 S. 17th Avenue
  ADOT Research Center
  Phoenix, AZ  United States  85007
• Managing Organizations:

  Arizona Department of Transportation Research Center

  206 S. 17th Avenue
  ADOT Research Center
  Phoenix, AZ  United States  85007
• Project Managers:

  McIlwain, Julie

• Performing Organizations:

  Arizona Transportation Institute

  Civil Engineering, Rm. 324F
  Tucson, Arizona  United States  85721
• Principal Investigators:

  Wu, Yao-Jan

• Start Date: 20241210
• Expected Completion Date: 20251210
• Actual Completion Date: 0
• USDOT Program: Advanced Research
• USDOT Program: Highway and Transportation Data

Subject/Index Terms

• TRT Terms: Artificial intelligence; Data analysis; Data collection; Transportation planning
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01941730
• Record Type: Research project
• Source Agency: Arizona Department of Transportation
• Contract Numbers: SPR-802
• Files: RIP, STATEDOT
• Created Date: Jan 3 2025 4:12PM