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AuthorElayan, Haya
AuthorAloqaily, Moayad
AuthorSalameh, Haythem Bany
AuthorGuizani, Mohsen
Available date2022-10-29T20:20:34Z
Publication Date2021-10-04
Publication NameProceedings - Conference on Local Computer Networks, LCN
Identifierhttp://dx.doi.org/10.1109/LCN52139.2021.9524950
CitationElayan, H., Aloqaily, M., Salameh, H. B., & Guizani, M. (2021, October). Intelligent Cooperative Health Emergency Response System in Autonomous Vehicles. In 2021 IEEE 46th Conference on Local Computer Networks (LCN) (pp. 293-298). IEEE.‏
ISBN9780738124766
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85118459566&origin=inward
URIhttp://hdl.handle.net/10576/35574
AbstractRecent technological advances have reshaped many aspects of our lives, especially modern transportation systems. For instance, AI and B5G Networks have raised the level of automation as autonomous vehicles (AV) become decision-independent and self-aware. However, in-vehicle health monitoring is still an open issue. Therefore, a cooperative healthcare emergency response framework has been proposed that employs in-vehicle intelligent health monitoring and local networks for AV to minimize the time to receive emergency treatment for passengers with abnormal health conditions. The extensive simulation results show that the framework minimizes the First Emergency Treatment Time by at least 75%, and eliminates hospital waiting time, the Total Time for Emergency Treatment is minimized by at least 93%. Finally, it reduces Travel Time by nearly 50%. All results compared to the autopilot approach.
SponsorACKNOWLEDGEMENT This work was supported by Qatar University under project No: IRCC [2020-003]. The findings achieved herein are solely the responsibility of the authors.
Languageen
PublisherIEEE Computer Society
SubjectAI
Autonomous Vehicles
Cooperative Systems
Healthcare
IoT
TitleIntelligent cooperative health emergency response system in autonomous vehicles
TypeConference Paper
Pagination293-298
Volume Number2021-October


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