On-Demand Multimodal Transit Systems

EI-ERIM-OR seminar
Speaker
Kevin Dalmeijer
Date
Friday 17 Feb 2023, 12:00 - 13:00
Type
Seminar
Spoken Language
English
Room
ET-18
Building
E Building
Location
Campus Woudestein
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Campus Woudestein with trees with red leaves and students walking through wooden benches

On-Demand Multimodal Transit Systems (ODMTS) are a new generation of transit systems that combine a network of high-frequency trains and buses with on-demand shuttles to serve the first and last miles.

This presentation covers the research process from collecting data, developing an optimization pipeline, and performing simulations all the way up to deploying a 6-month pilot in Atlanta, Georgia. The optimization pipeline brings together methods for demand estimation, network design, fleet sizing, and real-time dispatching.

This talk will focus in particular on solving the network design problem with Benders decomposition, and on using the optimization pipeline to study the resilience of ODMTS during the COVID-19 pandemic.

Lunch will be provided (vegetarian option included).

  • Kevin Dalmeijer is a Senior Research Associate for the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech and the Managing Director of the NSF AI Research Institute for Advances in Optimization (AI4OPT).

    He obtained a Ph.D. in Operations Research from the Erasmus School of Economics, and he has worked on challenging problems in mobility, transportation, and logistics. As a member of the Socially Aware Mobility lab, his current research focuses on redesigning public transit to ensure equitable access, reduce congestion, and improve mobility.

    Kevin Dalmeijer standing with a microphone and speaker cue cards

Organisors

More information

Secretariat Econometrics: eb-secr@ese.eur.nl

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