On-Demand Multimodal Transit Systems
Abstract
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).
