activity
20192022
most citedAn Online Decision-Theoretic Pipeline for Responder Dispatch

15 citations · 22 across the 10 of their papers we have counts for

collaborators

10 papers

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.AI2022★ 1 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…

cs.MA2021

Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities

Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer +1

Resource allocation under uncertainty is a classical problem in city-scale cyber-physical systems. Consider emergency response as an example; urban planners and first responders op…

cs.LG2021★ 3 cited

Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

Sayyed Mohsen Vazirizade, Ayan Mukhopadhyay, Geoffrey Pettet +3

Principled decision making in emergency response management necessitates the use of statistical models that predict the spatial-temporal likelihood of incident occurrence. These st…

cs.AI2020

Hierarchical Planning for Resource Allocation in Emergency Response Systems

Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer +1

A classical problem in city-scale cyber-physical systems (CPS) is resource allocation under uncertainty. Typically, such problems are modeled as Markov (or semi-Markov) decision pr…

cs.AI2020★ 3 cited

Designing Emergency Response Pipelines : Lessons and Challenges

Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer +1

Emergency response to incidents such as accidents, crimes, and fires is a major problem faced by communities. Emergency response management comprises of several stages and sub-prob…

cs.AI2020

A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management

Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade +7

In the last fifty years, researchers have developed statistical, data-driven, analytical, and algorithmic approaches for designing and improving emergency response management (ERM)…

cs.AI2020

On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities

Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer +2

Emergency Response Management (ERM) is a critical problem faced by communities across the globe. Despite this, it is common for ERM systems to follow myopic decision policies in th…

cs.AI2019★ 15 cited

An Online Decision-Theoretic Pipeline for Responder Dispatch

Ayan Mukhopadhyay, Geoffrey Pettet, Chinmaya Samal +2

The problem of dispatching emergency responders to service traffic accidents, fire, distress calls and crimes plagues urban areas across the globe. While such problems have been ex…