Reinventing Mobility in Atlanta

2019 ~ Present | MARTA, ARC, The City of Atlanta

Goals

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

  • Optimization
  • Machine Learning
  • Data Mining
  • Simulation
  • Behavorial Modeling
  • Survey methods
  • High-performance Computing
  • Cloud Computing

Academic Majors of Interest

  • Architecture
  • Civil Engineering
  • Computer Science
  • Electrical Engineering
  • Industrial Engineering
  • Public Policy

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

Meeting Schedule & Location

Time: 

10:10-11:00

Meeting Location: 

Groseclose 304

Meeting Day: 

Friday

Team Advisors

Dr. Pascal Van Hentenryck (ISyE)

Sponsor(s)

MARTA, ARC, The City of Atlanta