Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Geoffrey Pettet"'
Autor:
Abhishek Dubey, Geoffrey Pettet, Hiba Baroud, Said El Said, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade
Publikováno v:
SMARTCOMP
Emergency Response Management (ERM) necessitates the use of models capable of predicting the spatial-temporal likelihood of incident occurrence. These models are used for proactive stationing in order to reduce overall response time. Traditional meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17561975d790231ad3b0fccd667f5d1e
https://doi.org/10.1109/smartcomp52413.2021.00091
https://doi.org/10.1109/smartcomp52413.2021.00091
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 optimize the location of ambulances to minimize expected response times
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b4bc2f33afb17a2be029ab333a66bd9
http://arxiv.org/abs/2107.01292
http://arxiv.org/abs/2107.01292
Autor:
Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Mohsen Vazirizade, Di Lu, Alejandro Jaimes, Said El Said, Hiba Baroud, Yevgeniy Vorobeychik, Mykel Kochenderfer, Abhishek Dubey
Publikováno v:
Accident; analysis and prevention. 165
In the last fifty years, researchers have developed statistical, data-driven, analytical, and algorithmic approaches for designing and improving emergency response management (ERM) systems. The problem has been noted as inherently difficult and const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3712522c8fd084bc1651b782f7d41a7f
https://pubmed.ncbi.nlm.nih.gov/34929574
https://pubmed.ncbi.nlm.nih.gov/34929574
Publikováno v:
ICCPS
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 processes. While online, offline, and decentralized approaches have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::593e4be977f55c76c5e0e581eedbdb92
Publikováno v:
ICCPS
This work presents a dashboard tool that helps emergency responders analyze and manage spatial-temporal incidents like crime and traffic accidents. It uses state-of-the-art statistical models to learn incident probabilities based on factors such as p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75e4211a2cb74965189fd3d8af210e39
https://doi.org/10.1145/3302509.3313329
https://doi.org/10.1145/3302509.3313329
Publikováno v:
PerCom Workshops
The Internet of Things (IoT) requires distributed, large scale data collection via geographically distributed devices. While IoT devices typically send data to the cloud for processing, this is problematic for bandwidth constrained applications. Fog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5809840b59d0985200b02a904b733a
https://doi.org/10.1109/percomw.2019.8730577
https://doi.org/10.1109/percomw.2019.8730577
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 extensively looked at, most approaches are offline. Such methodologies f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33cf552d697be183bf2b3a7856bdc41d
http://arxiv.org/abs/1902.08274
http://arxiv.org/abs/1902.08274
Publikováno v:
FWC
As the number of low cost computing devices at the edge of network increases, there are greater opportunities to enable novel, innovative capabilities, especially in decentralized cyber-physical systems. For example, in an urban setting, a set of net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f4b638d316ae0f20576c35cdcf9e83
https://doi.org/10.1109/fwc.2017.8368531
https://doi.org/10.1109/fwc.2017.8368531
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Advances in data collection and storage infrastructure offer an unprecedented opportunity to integrate both data and emergency resources in a city into a dynamic learning system that can anticipate and rapidly respond to heterogeneous incidents. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a2d3dd2e393ea892c613e3f9094f795
https://doi.org/10.1109/uic-atc.2017.8397587
https://doi.org/10.1109/uic-atc.2017.8397587