Modern transportation both generates and relies on a large amount of data. These are the operational requirements for providing accessibility and innovative mobility along with the development of smart, connected communities. ATI embraces the challenge and opportunity of the new data-driven transportation paradigm by cultivating and supporting expertise in the efficient and secure collection, storage, and analysis of transportation-derived data.
Digital Transportation Collaboratory
Based on the involved topics and constituent members of the Digital Transportation, we have identified Transportation Research Data Lake as a Signature Project to help focus the attention of the collaboratory at a high level in parallel to the new and ongoing research. This project is meant to support the overall research efforts of this topic and to yield a core resource to support transportation research at The University of Alabama.
Team
- Jeremy Pate
- Alex Hainen
- Daan Liang
- Fei Hu
- Javilla Barug
- Kaiwen Chen
- Matthew Hudnall
- Mizanur Rahman
- Mukesh Kumar
- Qifan Nie
- Randy Smith
- Siyuan Song
- Wei Song
- Zhe Zhiang
- Kevin Curtin
Affiliated Centers
- Center for Advanced Public Safety
- Institute of Data and Analytics
- Center for Transportation Operations, Planning and Safety
Affiliated Labs
- Control Algorithms and Sensing for Autonomy (CASA) Lab
- Laboratory for Location Science (LLS)
- Virtual Immersive Space and Innovative Technology (VISIT) Lab
Fall 2021 Collaboratory Research Presentation Series
The presentations below were given on November 03, 2021 at 3:30 p.m.
- A Transportation Digital-Twin Approach for Adaptive Traffic Control Systems in a Smart City | Presented by Dr. Mizanur Rahman
- Future Streets Design – Automated Tuscaloosa Bike Lane Planning | Presented by Dr. Erik Johnson w/ Eric Courchesne