To develop the data and decision science to improve mobility and accessibility in Atlanta.
Issues Involved or Addressed
The project requires novel data mining, machine learning, visualization, and optimization techniques to design new mobility services, including on-demand public transit, community-based ride sharing, and ride-sourcing services.
Methods and Technologies
Academic Majors of Interest
Preferred Interests and Preparation
Major(s) IE/CS/CEE: Background/interest in Industrial Engineering and/or Computer Science and/or transportation and/or urban planning
Major(s) IE: Experience with or willingness to learn optimization and machine learning
Major(s) CS: Algorithm, visualization, high-performance computing
Major(s) CEE: Transportation modeling, simulation, discrete choice models