Smart City Gnosys

Smart city article details

Title	Iomt-Assisted Medical Vehicle Routing Based On Uav-Borne Human Crowd Sensing And Deep Learning In Smart Cities
ID_Doc	33566
Authors	Rezaee K.; Khosravi M.R.; Attar H.; Menon V.G.; Khan M.A.; Issa H.; Qi L.
Year	2023
Published	IEEE Internet of Things Journal, 10, 21
DOI	http://dx.doi.org/10.1109/JIOT.2023.3284056
Abstract	An emergency medical vehicle can save the patient's life if it arrives at his location as quickly as possible. Unmanned aerial vehicles (UAVs) offer wide visibility and mobility, making them a viable choice for smart cities and intelligent transportation systems (ITSs) as edge devices for the Internet of Things (IoT). Based on population behavior and overcrowding, video surveillance through the Internet of multimedia things (IoMT) and public safety in smart cities can help determine the most efficient routes for emergency medical vehicles. This study investigates UAV overcrowding and abnormal population activity patterns, which affect the flow of emergency medical vehicles and traffic flow. Moreover, the purpose of this article is to analyze received video frames from UAVs in order to identify the most efficient route for emergency medical vehicles in smart cities to transfer patients in the event of abnormalities or overcrowding. In order to detect overcrowding on the streets, a hybrid Cascade-ResNet is utilized, which detects congestion based on many data points. Based on our proposed approach, we achieve a 2.5% improvement over similar methods because it is effective, flexible, and accurate. UAV video frames can be used to communicate with emergency response vehicles, to monitor traffic congestion, and to monitor other aspects of smart city life. © 2023 IEEE.
Author Keywords	Crowd behavior monitoring; deep transfer learning (DTL); emergency medical vehicles; human - vehicle interaction; Internet of Things (IoT); unmanned aerial vehicles (UAVs)

Similar Articles

Id	Similarity	Authors	Title	Published
60096	0.875	Bhanurangarao M.; Mahaveerakannan R.	Urban Object Detection In Uav Imagery For Healthcare Applications: Leveraging The Internet Of Things (Iot) In Smart Cities For Enhanced Urban Healthcare Monitoring And Management	2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023 (2023)
33073	0.865	Bakirci M.	Internet Of Things-Enabled Unmanned Aerial Vehicles For Real-Time Traffic Mobility Analysis In Smart Cities	Computers and Electrical Engineering, 123 (2025)
60038	0.864	Prince R.; Munoth N.; Sharma N.	Urban Intelligence And Iot-Uav Applications In Smart Cities: Unmanned Aerial Vehicle-Based City Management, Human Activity Recognition, And Monitoring For Health	Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques (2022)
57677	0.86	Gao J.; Wang Q.; Li Z.; Zhang X.; Hu Y.; Han Q.; Pan Y.	Toward Efficient Urban Emergency Response Using Uavs Riding Crowdsourced Buses	IEEE Internet of Things Journal, 11, 12 (2024)
10101	0.857	Sharma K.; Mondal J.	Applications Of Internet Of Vehicles In The Medical Sector	Medical Internet of Things: Techniques, Practices and Applications (2021)
62130	0.856	Vijay Ganesh P.; Sam Joshua V.; Saro Murugan L.; Mahalakshmi S.	Yolov9 Driven Internet Of Things Enabled Sustainable Solution For Intelligent Traffic Light Management System For Emergency Vehicles In Large Scale Urban Traffic	2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings (2025)
36488	0.855	Divya P.S.; Manoj G.; Jebasingh S.	Mathematical Modeling Of Unmanned Aerial Vehicles For Smart City Vehicular Surveillance Systems	Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques (2022)
18489	0.854	Aznil Mohd Taib M.A.; Saud Al-Humairi S.N.; Mohd Hanafiah M.H.; Jaharadak A.A.	Design And Development Of Unmanned Aerial Vehicle For Multi-Purposes Delivery In Smart Cities	2024 IEEE 15th Control and System Graduate Research Colloquium, ICSGRC 2024 - Conference Proceeding (2024)
27496	0.852	Singh B.; Kaunert C.	Future Envision Of Uavs Elevating Human Life: Its In Smart Cities Lensing Wireless Applications	Wireless Ad-hoc and Sensor Networks: Architecture, Protocols, and Applications (2024)
22333	0.851	Salem Jeyaseelan W.R.; Krishnan R.; Arunkumar M.; Alagarsamy P.	Efficient Intelligent Smart Ambulance Transportation System Using Internet Of Things	Tehnicki Vjesnik, 31, 1 (2024)