Optimizing Ambulance Routes: Real-time Traffic Signal Adaption

Optimizing Ambulance Routes: Real-time Traffic Signal Adaption

Srushti Thorat*1, Pratham Thorve *2, Sapna Dharmavat*3, Atharva Newaskar *4, Prof. Shashikant Bhong*5
*1,2,3,4SPPU, Dept. Of Computer Engineering, Shrimati Kashibai Navale College Of Engineering, Pune, Maharashtra, India.

*5Professor, Dept. Of Computer Engineering, Shrimati Kashibai Navale College Of Engineering,SPPU,Pune, Maharashtra,India.

ABSTRACT

India's population continues to grow, but the country's transportation system is struggling to keep up, creating major problems. Emergency vehicles such as ambulances often experience delays due to accidents, putting patients' lives at risk. When an ambulance is stuck in traffic, every second counts and delay can be life-threatening. Getting the ambulance to the hospital quickly is critical to saving lives and protecting public health. Using the Internet of Things (IoT), we can create a system that automatically removes emergency traffic signs. This new approach could shorten response times and increase the efficiency of emergency services. Implementing IoT-based traffic management helps ensure that ambulances and other emergency vehicles can move through traffic, ultimately saving lives and better treating people's health as a whole. To solve this problem, using new methods to provide clear traffic signals to emergency vehicles using the Internet of Things (IoT) may provide a good solution.

Keywords: RFID, Microcontroller, Android Application, Intelligent Ambulance, GPS.