33 citations · 69 across the 7 of their papers we have counts for
7 papers
The Impact of Shared Autonomous Vehicles in Microtransit Systems: A Case Study in Atlanta
Jason Lu, Tejas Santanam, Hongzhao Guan +5
Microtransit systems represent an enhancement to solve the first- and last-mile problem, integrating traditional rail and bus networks with on-demand shuttles into a flexible, inte…
MARTA Reach: Toward an On-Demand Multimodal Transit System in Atlanta
Pascal Van Hentenryck, Connor Riley, Anthony Trasatti +7
On-Demand Multimodal Transit Systems (ODMTS) adopt a transit-centric model, integrating fixed-route public transit with on-demand shuttles to provide integrated, door-to-door multi…
Revitalizing Public Transit in Low Ridership Areas: An Exploration of On-Demand Multimodal Transit Systems
Jiawei Lu, Connor Riley, Krishna Murthy Gurumurthy +1
Public transit plays an essential role in mitigating traffic congestion, reducing emissions, and enhancing travel accessibility and equity. One of the critical challenges in design…
Column Generation for Real-Time Ride-Sharing Operations
Connor Riley, Antoine Legrain, Pascal Van Hentenryck
This paper considers real-time dispatching for large-scale ride-sharing services over a rolling horizon. It presents RTDARS which relies on a column-generation algorithm to minimiz…
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area
Tejas Santanam, Anthony Trasatti, Hanyu Zhang +3
This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after…
Resiliency of On-Demand Multimodal Transit Systems During a Pandemic
Ramon Auad, Kevin Dalmeijer, Connor Riley +4
During the COVID-19 pandemic, the collapse of the public transit ridership led to significant budget deficits due to dramatic decreases in fare revenues. Additionally, public trans…
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
Connor Riley, Pascal Van Hentenryck, Enpeng Yuan
This paper considers the dispatching of large-scale real-time ride-sharing systems to address congestion issues faced by many cities. The goal is to serve all customers (service gu…