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Found 9 papers, 1 papers with code
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.
Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search
We find that PC-MCTS can achieve higher cumulative rewards than the policy in isolation under several environmental shifts while converging in significantly fewer iterations than pure MCTS.
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
Designing effective emergency response management (ERM) systems to respond to incidents such as road accidents is a major problem faced by communities.
Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems
These statistical models are then used for proactive stationing which allocates first responders across the spatial area in order to reduce overall response time.
Hierarchical Planning for Resource Allocation in Emergency Response Systems
We use the emergency response as a case study and show how a large resource allocation problem can be split into smaller problems.
Designing Emergency Response Pipelines : Lessons and Challenges
Emergency response to incidents such as accidents, crimes, and fires is a major problem faced by communities.
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and algorithmic approaches for designing and improving emergency response management (ERM) systems.
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
This is not a trivial planning problem --- a major challenge with dynamically balancing the spatial distribution of responders is the complexity of the problem.
An Online Decision-Theoretic Pipeline for Responder Dispatch
We highlight why such an approach is crucial to the effectiveness of emergency response, and present an algorithmic framework that can compute promising actions for a given decision-theoretic model for responder dispatch.
