Intelligent Ambulance Management System in Smart Cities

Akca, Tugay; Şahingöz, Özgür Koray; Kocyigit, Emre; Tozal, Mucahid

doi:10.1109/icee49691.2020.9249959

Cited by 18 publications

(6 citation statements)

References 11 publications

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“…LITERATURE REVIEW Amrita Varshini [1] developed a Mobile Ambulance Management Application for Critical Needs.The emerging researches in medical devices, wireless communications, sensors and software applications help in the advancement of health care centers. In this paper, different methodologies are used to implement mobile android applications for providing an efficient and comfort ambulance service into existence.…”

Section: IImentioning

confidence: 99%

Online Ambulance Booking System

Sonawane,

Karale,

Patil

et al. 2024

IJRASET

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The Online Ambulance Booking Service is a vital healthcare innovation designed to address the critical need for efficient and timely emergency medical transportation. In the modern world, access to medical care is of utmost importance, and this service aims to bridge the gap between patients and emergency medical services. This abstract provides an overview of the key features and functionalities of the system. The Online Ambulance Booking Service leverages technology to create a userfriendly platform that enables individuals to request ambulance services with ease. Users can access the service through a web application or mobile app, making it accessible to a wide range of people. The Online Ambulance Booking Service is a solution that enhances emergency medical response, saving valuable time in critical situations. It fosters a sense of security and reliability in healthcare services, benefiting both the general public and healthcare providers. This abstract highlight the importance of such a service in the healthcare industry, emphasizing its role in improving patient outcomes and reducing response times during emergencies.

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Section: IImentioning

confidence: 99%

Online Ambulance Booking System

Sonawane,

Karale,

Patil

et al. 2024

IJRASET

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“…Their framework can be adapted for optimizing the routing decisions of autonomous ambulances by integrating real-time object detection data. Akca et al [8] introduced an intelligent ambulance management system that calculates the shortest path using the Haversine formula. However, it does not incorporate real-time object detection or adaptive decision-making, which limits its responsiveness in dynamic traffic conditions.…”

Section: Related Workmentioning

confidence: 99%

Advanced Object Detection and Decision Making in Autonomous Medical Response Systems

Needhi

2024

Preprint

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This paper focuses on enhancing the object detection and decision-making capabilities of Autonomous Emergency Medical Response Systems (AEMRS). Using advanced sensors, Convolutional Neural Networks (CNN), and reinforcement learning, we propose a model that processes environmental data to identify obstacles and make optimal navigation decisions. The integration of these technologies aims to minimize response time and improve the efficiency of emergency medical services. The perception system utilizes radar, LiDAR, and camera inputs to create a comprehensive understanding of the environment. These data are processed through a series of CNN layers to detect and classify objects such as vehicles, pedestrians, and road signs. On the decision-making front, a Q-learning algorithm is employed to enable the ambulance to learn from its interactions with the environment, continuously improving its route planning and collision avoidance strategies. By combining these advanced AI techniques, the proposed AEMRS can significantly enhance the speed and reliability of emergency responses, ultimately saving more lives. This paper presents the design, implementation, and simulation results of the proposed system, demonstrating its potential to revolutionize emergency medical services.

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“…It may be said that the Internet of Things will provide some customized, preventive, and cooperative types of consultants with a new method of differential healthcare [66]. This invention gives live IoT output for elderly people to check and store health information and promote an emergency alert system [67].…”

Section: Machine Learning and Iot In Smart Sensors And Devicesmentioning

confidence: 99%

Survey on Sensors and Smart Devices for IoT Enabled Intelligent Healthcare System

Chopade

Gupta

Dutta

2023

Wireless Pers Commun

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The Internet of Things (IoT) in the healthcare system is rapidly changing from the conventional hospital and concentrated specialist behavior to a distributed, patient-centric approach. With the advancement of new techniques, a patient needs sophisticated healthcare requirements. IoT-enabled intelligent health monitoring system with sensors and devices is a patient analysis technique to monitor the patient 24 h a day. IoT is swapping the architecture and has improved the application of different complex systems. Healthcare devices are one of the most remarkable applications of the IoT. Many patient monitoring techniques are available in the IoT platform. This review presents an IoT-enabled intelligent health monitoring system by analyzing the papers reported between 2016 and 2023. This survey also discusses the concept of big data in IoT networks and the IoT computing technology known as edge computing. This review concentrated on sensors and smart devices used in intelligent IoT based health monitoring systems with merits and demerits. This survey gives a brief study based on sensors and smart devices used in IoT smart healthcare systems.

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Intelligent Ambulance Management System in Smart Cities

Cited by 18 publications

References 11 publications

Online Ambulance Booking System

Online Ambulance Booking System

Advanced Object Detection and Decision Making in Autonomous Medical Response Systems

Survey on Sensors and Smart Devices for IoT Enabled Intelligent Healthcare System

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