Data-driven Research Aims to Solve First/Last-Mile Problem

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Summaries

Summary Sentence:

Georgia Tech, the city of Atlanta, and the SAM Lab use data and machine learning to look at how on-demand multimodal transit could improve traffic congestion and mobility inequalities.

Full Summary:

Georgia Tech, the city of Atlanta, and the SAM Lab use data and machine learning to look at how on-demand multimodal transit could improve traffic congestion and mobility.

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  • Preliminary design of an on-demand multi-modal transit system for Atlanta Preliminary design of an on-demand multi-modal transit system for Atlanta
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  • A. Russell Chandler III Chair and Professor Pascal Van Hentenryck A. Russell Chandler III Chair and Professor Pascal Van Hentenryck
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MetroLab Network has partnered with Government Technology to bring its readers a segment called the MetroLab Innovation of the Month Series, which highlights impactful tech, data, and innovation projects underway between cities and universities.

This month’s installment of the Innovation of the Month series explores the work of Georgia Tech and the city of Atlanta on the Socially Aware Mobility Lab (SAM).

MetroLab’s Ben Levine spoke with Pascal Van Hentenryck, an A. Russell Chandler III chair and professor in Georgia Tech's H. Milton Stewart School of Industrial and Systems Engineering and head of the SAM Lab; Jacob Tzegaegbe, senior transportation policy advisor for Atlanta Mayor Keisha Lance Bottoms and part of the SAM advisory board; and Debra Lam, managing director of smart cities and inclusive innovation at Georgia Tech.

You can read the entire interview here: https://bit.ly/34ho348

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School of Industrial and Systems Engineering (ISYE), The Supply Chain and Logistics Institute (SCL)

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Keywords
Socially Aware Mobility, SAM Lab, City of Atlanta, Pascal Van Hentenryck, smart cities, debra lam
Status
  • Created By: Shelley Wunder-Smith
  • Workflow Status: Published
  • Created On: Apr 7, 2020 - 11:57am
  • Last Updated: Apr 14, 2020 - 1:16pm