activity
20202026
most citedForecasting and Mitigating Disruptions in Public Bus Transit Services

1 citations · 1 across the 4 of their papers we have counts for

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.AI2024★ 1 cited

Forecasting and Mitigating Disruptions in Public Bus Transit Services

Chaeeun Han, Jose Paolo Talusan, Dan Freudberg +3

Public transportation systems often suffer from unexpected fluctuations in demand and disruptions, such as mechanical failures and medical emergencies. These fluctuations and disru…

cs.CY2024

An Online Approach to Solving Public Transit Stationing and Dispatch Problem

Jose Paolo Talusan, Chaeeun Han, Ayan Mukhopadhyay +3

Public bus transit systems provide critical transportation services for large sections of modern communities. On-time performance and maintaining the reliable quality of service is…

cs.LG2022

On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data

Jose Paolo Talusan, Ayan Mukhopadhyay, Dan Freudberg +1

The ability to accurately predict public transit ridership demand benefits passengers and transit agencies. Agencies will be able to reallocate buses to handle under or over-utiliz…

physics.soc-ph2020

Impact of COVID-19 on Public Transit Accessibility and Ridership

Michael Wilbur, Afiya Ayman, Anna Ouyang +7

Public transit is central to cultivating equitable communities. Meanwhile, the novel coronavirus disease COVID-19 and associated social restrictions has radically transformed rider…