A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models
release_zo3vedxzurcerbw4jnr72l7wfu
by
Ayan Mukhopadhyay and Geoffrey Pettet and Sayyed Vazirizade and Yevgeniy Vorobeychik and Mykel Kochenderfer and Abhishek Dubey
2020
Abstract
Emergency response is one of the most pressing problems faced by communities
across the globe. In the last fifty years, researchers have developed
statistical, analytical, and algorithmic approaches for designing emergency
response management (ERM) systems. In this survey, we present models for
incident prediction, resource allocation and dispatch concerning urban
emergency incidents like accidents and crimes. We highlight the strengths and
weaknesses of prior work in this domain and explore the similarities and
differences between different incident types. Finally, we present future
research directions. To the best of our knowledge, our work is the first
comprehensive survey that explores the entirety of ERM systems.
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