Artificial Intelligence for Transportation Systems Management and Operations Applications
The objective of this research is to develop a guide, including implementation roadmaps, to help state DOTs and other transportation agencies in developing and deploying next-generation, data-driven, and AI-enabled decision support systems (DSS) for transportation systems management and operations (TSMO) applications. A key emphasis should be on identifying areas where AI technologies can improve DSSs for TSMO applications and providing detailed implementation steps, resource needs, and assessing reliability and scalability of AI-based solutions.
Language
- English
Project
- Status: Active
- Funding: $450000
-
Contract Numbers:
Project 07-34
-
Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Deng, Zuxuan
-
Performing Organizations:
College of Engineering
1209 East 2nd Street
Tucson, AZ United States 85721 -
Principal Investigators:
Wu, Yao-Jan
- Start Date: 20240415
- Expected Completion Date: 20261014
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Decision support systems; Guidelines; Machine learning; State departments of transportation; Transportation system management
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01847387
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 07-34
- Files: TRB, RIP
- Created Date: May 26 2022 5:00PM