Intelligent cooperative health emergency response system in autonomous vehicles
المؤلف | Elayan, Haya |
المؤلف | Aloqaily, Moayad |
المؤلف | Salameh, Haythem Bany |
المؤلف | Guizani, Mohsen |
تاريخ الإتاحة | 2022-10-29T20:20:34Z |
تاريخ النشر | 2021-10-04 |
اسم المنشور | Proceedings - Conference on Local Computer Networks, LCN |
المعرّف | http://dx.doi.org/10.1109/LCN52139.2021.9524950 |
الاقتباس | Elayan, 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. |
الترقيم الدولي الموحد للكتاب | 9780738124766 |
الملخص | Recent 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. |
راعي المشروع | ACKNOWLEDGEMENT This work was supported by Qatar University under project No: IRCC [2020-003]. The findings achieved herein are solely the responsibility of the authors. |
اللغة | en |
الناشر | IEEE Computer Society |
الموضوع | AI Autonomous Vehicles Cooperative Systems Healthcare IoT |
النوع | Conference Paper |
الصفحات | 293-298 |
رقم المجلد | 2021-October |
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