most citedOffline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.AI20221 cited

Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit

Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay +4

Vehicle routing problems (VRPs) can be divided into two major categories: offline VRPs, which consider a given set of trip requests to be served, and online VRPs, which consider re…

cs.AI2022

An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services

Michael Wilbur, Salah Uddin Kadir, Youngseo Kim +6

Many transit agencies operating paratransit and microtransit services have to respond to trip requests that arrive in real-time, which entails solving hard combinatorial and sequen…

cs.AI20221 cited

Designing Decision Support Systems for Emergency Response: Challenges and Opportunities

Geoffrey Pettet, Hunter Baxter, Sayyed Mohsen Vazirizade +4

Designing effective emergency response management (ERM) systems to respond to incidents such as road accidents is a major problem faced by communities. In addition to responding to…

cs.AI2022

Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search

Geoffrey Pettet, Ayan Mukhopadhyay, Abhishek Dubey

Decision-making under uncertainty (DMU) is present in many important problems. An open challenge is DMU in non-stationary environments, where the dynamics of the environment can ch…