2019 ~ Present| Section - VX8

Reinventing Mobility in Atlanta

GOALS: To develop the data and decision science to improve mobility and accessibility in Atlanta.

METHODS & TECHNOLOGIES: Optimization, Machine learning, Data mining, Simulation, Behavorial modeling, Survey methods, High-Performance computing, Cloud computing.

RESEARCH AND INNOVATION ISSUES: 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.

MEETING TIME: Fri, 10:10-11:00

ADVISORS: Pascal Van Hentenryck (ISyE)

PARTNERS & SPONSORS: MARTA, ARC, The City of Atlanta

MAJORS, PREPARATIONS AND INTERESTS: 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

CONTACT: Dr. Pascal Van Hentenryck, pascal.vanhentenryck@isye.gatech.edu