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

Released as a article .

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.
In text/plain format

Archived Files and Locations

application/pdf  614.2 kB
file_pmdjosava5d6dgwvgygn2m4ljm
arxiv.org (repository)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article
Stage   submitted
Date   2020-06-07
Version   v1
Language   en ?
arXiv  2006.04200v1
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 5773ce91-25dc-4557-81f5-765193d84b67
API URL: JSON