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Found 10 papers, 4 papers with code
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
In smaller problem instances, the baseline approach is as competitive as our framework.
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
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 requests as they arrive in real-time.
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services
Accounting for stochastic requests while optimizing a non-myopic utility function is computationally challenging; indeed, the action space for such a problem is intractably large in practice.
Optimization of vaccination for COVID-19 in the midst of a pandemic
During the Covid-19 pandemic a key role is played by vaccination to combat the virus.
A Framework for the Joint Optimization of Assignment and Pricing in Mobility-on-Demand Systems with Shared Rides
Mobility-on-Demand (MoD) systems have become a fixture in urban transportation networks, with the rapid growth of ride-hailing services such as Uber and Lyft.
Safe reopening of university campuses is possible with COVID-19 vaccination
We construct an agent-based SEIR model to simulate COVID-19 spread at a 16000-student mostly non-residential urban university during the Fall 2021 Semester.
Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City
To the best of our knowledge, STaRS+ is the first study on the RPMP that can solve large-scale instances on the order of the entire NYC metro area.
Real-Time Approximate Routing for Smart Transit Systems
We study real-time routing policies in smart transit systems, where the platform has a combination of cars and high-capacity vehicles (e. g., buses or shuttles) and seeks to serve a set of incoming trip requests.
Optimization and Control
SEIR-Campus: Modeling Infectious Diseases on University Campuses
We introduce a Python package for modeling and studying the spread of infectious diseases using an agent-based SEIR style epidemiological model with a focus on university campuses.
Tractable Pathfinding for the Stochastic On-Time Arrival Problem
Our secondary contribution is the extension of policy-based preprocessing to path-based preprocessing for the SOTA problem.
Data Structures and Algorithms 68W99 G.2.2
