activity
20192025
most citedResiliency of On-Demand Multimodal Transit Systems During a Pandemic

33 citations · 70 across the 14 of their papers we have counts for

collaborators

14 papers

math.OC2025

Practice-Based Optimization for the Strategic Locomotive Assignment Problem

Yunji Kim, Amira Hijazi, Kevin Dalmeijer +1

This study addresses the challenge of efficiently assigning locomotives in large freight rail networks, where operational complexity and power imbalances make cost-effective planni…

math.OC2024

Optimizing Multiple-Control Toffoli Quantum Circuit Design with Constraint Programming

Jihye Jung, Kevin Dalmeijer, Pascal Van Hentenryck

As quantum technology advances, the efficient design of quantum circuits has become an important area of research. This paper provides an introduction to the MCT quantum circuit de…

math.OC2023

Resource-robust valid inequalities for vehicle routing and related problems

Ymro N. Hoogendoorn, Kevin Dalmeijer

Branch-price-and-cut algorithms play an important role in solving many vehicle routing problems (VRPs). Adding valid inequalities in this framework can impact the pricing subproble…

cs.CY2023★ 2 cited

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…

math.OC2023★ 2 cited

AI4OPT: AI Institute for Advances in Optimization

Pascal Van Hentenryck, Kevin Dalmeijer

This article is a short introduction to AI4OPT, the NSF AI Institute for Advances in Optimization. AI4OPT fuses AI and Optimization, inspired by end-use cases in supply chains, ene…

math.OC2023★ 5 cited

Constraint Programming to Improve Hub Utilization in Autonomous Transfer Hub Networks

Chungjae Lee, Wirattawut Boonbandansook, Vahid Eghbal Akhlaghi +2

The Autonomous Transfer Hub Network (ATHN) is one of the most promising ways to adapt self-driving trucks for the freight industry. These networks use autonomous trucks for the mid…

math.OC2023★ 5 cited

Optimizing Autonomous Transfer Hub Networks: Quantifying the Potential Impact of Self-Driving Trucks

Chungjae Lee, Kevin Dalmeijer, Pascal Van Hentenryck +1

Autonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHNs), which combine autonomous tru…

math.OC2023★ 3 cited

The Impact of Congestion and Dedicated Lanes on On-Demand Multimodal Transit Systems

Jason Lu, Anthony Trasatti, Hongzhao Guan +2

Traffic congestion can have a detrimental effect on public transit systems, and understanding and mitigating these effects is of critical importance for effective public transporta…

math.OC2022

A Unified Approach to Evaluation and Routing in Public Transport Systems

Rolf Nelson van Lieshout, Kevin Dalmeijer

Both evaluating the service quality of a public transport system and understanding how passengers choose between modes or routes is imperative for public transport operators, provi…

math.OC2022★ 2 cited

Optimization Models for Autonomous Transfer Hub Networks

Chungjae Lee, Kevin Dalmeijer, Pascal Van Hentenryck

Autonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHN), which combine autonomous truc…

math.OC2021

Optimizing Freight Operations for Autonomous Transfer Hub Networks

Kevin Dalmeijer, Pascal Van Hentenryck

Autonomous trucks are expected to fundamentally transform the freight transportation industry, and the technology is advancing rapidly. According to some of the major players, the…

math.OC2021★ 12 cited

The Bicycle Network Improvement Problem

Jisoon Lim, Kevin Dalmeijer, Subhrajit Guhathakurta +1

Using a bicycle for commuting is still uncommon in US cities, although it brings many benefits to both the cyclists and to society as a whole. Cycling has the potential to reduce t…

math.OC2021★ 33 cited

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…

math.OC2019★ 6 cited

Transfer-Expanded Graphs for On-Demand Multimodal Transit Systems

Kevin Dalmeijer, Pascal Van Hentenryck

This paper considers a generalization of the network design problem for On-Demand Multimodal Transit Systems (ODMTS). An ODMTS consists of a selection of hubs served by high freque…