MediRide- Emergency Ride Services

Abstract

Timely access to emergency medical transportation is essential for saving lives, especially in densely populated cities like Mumbai where traffic congestion often delays ambulance services. This thesis presents MediRide, an Android-based emergency ride service application developed to improve the efficiency and reliability of ambulance booking and hospital coordination. The application is built using React for the front-end interface and Python for backend processing, ensuring a responsive and scalable system.\\ MediRide allows users to register, verify their profiles, and quickly book ambulances based on the type of medical emergency. The system provides real-time GPS tracking, enabling users to monitor ambulance location and estimated arrival time. Additionally, it offers information on hospital bed availability, helping users select the most appropriate healthcare facility during emergencies. To enhance system reliability, features such as user authentication, fake booking prevention, and driver shift management are included. These functionalities ensure better resource utilization and operational efficiency.

Introduction

Emergency medical services (EMS) are essential for saving lives, especially in densely populated urban areas where traffic congestion and system overload often delay response times. Traditional ambulance booking methods, such as phone calls, are inefficient and lack real-time information about ambulance location and hospital bed availability. To address these issues, the study proposes MediRide, an Android-based emergency ambulance booking system designed to improve coordination between patients, drivers, and hospitals using mobile and web technologies.

MediRide uses a React-based interface and Python backend, integrated with Google Maps for real-time tracking. The system provides features such as ambulance booking, GPS-based live tracking, hospital bed availability, and secure authentication. Its main goal is to reduce emergency response delays, improve transparency, and help users make faster and more informed decisions during critical situations.

The system is structured into three modules: the User module, which allows patients to request ambulances and track them in real time; the Driver module, which manages ride requests and navigation using optimized routes; and the Hospital module, which updates bed availability and prepares staff for incoming emergencies. This integrated approach ensures better communication and resource management.

Conclusion

The MediRide – Emergency Ambulance Booking and Management System is designed and implemented to improve emergency medical response and healthcare coordination. The system integrates real-time ambulance booking, GPS-based tracking, hospital bed management, and role-based access control into a unified platform. Unlike traditional ambulance systems that rely on manual communication and lack transparency, the proposed system automates the entire workflow—from booking and driver allocation to hospital notification and patient admission. This significantly reduces response time and ensures timely medical assistance. The integration of real-time technologies such as GPS and cloud-based data synchronization enables continuous monitoring, optimized routing, and efficient communication among users, drivers, and hospitals. The system also ensures secure access through role-based authentication, improving data security and operational management. Experimental results demonstrate that the system provides: 1) Faster ambulance allocation 2) Real-time tracking and updates 3) Improved coordination between stakeholders 4) Efficient utilization of healthcare resources Overall, the MediRide system successfully achieves its objective of delivering a smart, scalable, and efficient emergency ambulance service, contributing to the advancement of modern healthcare systems and smart city solution

References

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Copyright

Copyright © 2026 Sarthak Gaikwad, Kaushal More, Akif Ansari, Prof. Shubhangi Patil. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.