collaborators

5 papers

eess.SY2026

Computing Headway Bounds under Worst-Case Bunching in Fixed-Line Transit Systems

Michael Yuhas, George Gunter, Jose Paulo Talusan +3

Vehicle bunching is a major problem for transit operators. When vehicles bunch together, the lead vehicle will service the majority of passenger demand, leaving the following vehic…

cs.CY2026

MoveOD: Synthesizing Origin-Destination Commute Distribution from U.S. Census Data

Rishav Sen, Jose Paolo Talusan, Abhishek Dubey +3

High-resolution origin-destination (OD) tables are essential for a wide spectrum of transportation applications, from modeling traffic and signal timing optimization to congestion…

cs.AI2026

Dynamic Vehicle Routing Problem with Prompt Confirmation of Advance Requests

Amutheezan Sivagnanam, Ayan Mukhopadhyay, Samitha Samaranayake +2

Transit agencies that operate on-demand transportation services have to respond to trip requests from passengers in real time, which involves solving dynamic vehicle routing proble…

math.OC2026

Column Generation for the Micro-Transit Zoning Problem

Hins Hu, Rishav Sen, Jose Paolo Talusan +3

Along with the rapid development of new urban mobility options like ride-sharing over the past decade, on-demand micro-transit services stand out as a middle ground, bridging the g…

cs.LG2026

Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning

Afiya Ayman, Ayan Mukhopadhyay, Aron Laszka

A fundamental problem in multi-task learning (MTL) is identifying groups of tasks that should be learned together. Since training MTL models for all possible combinations of tasks…