Shortest Route Finding Ambulance System


EOI: 10.11242/viva-tech.01.04.073

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Citation

Mr. Rushikesh Jadhav, Mr. Sushant Baperkar, Ms. Snehal Kamble, Prof. Umesh Mohite, "Shortest Route Finding Ambulance System", VIVA-IJRI Volume 1, Issue 4, Article 73, pp. 1-7, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Such a large number of patients in India lose their lives because the ambulance does not arrive on time or delay in the treatment. Also, in view of the increasing technology and other factors, it is necessary to be aware of such technologies to reduce this problem. A survey conducted in St Petersburg found that the rest of the countries are aware of the technology to find out where the ambulance is and alert the patient to get the crisis vehicle at the ideal time. For this, algorithms like weighted graphs, Dijkstra's algorithm, ant colony algorithm, dynamic shortest path have been used in that system. These algorithms are reduced the traveling time by 20%. Therefore, the chances of patient saving increased. In this system only 2 smartphones will have for conversation between patient and ambulance and it is fully automated. As we have found in India, if there is a accident at any spot, we are called complementary number or crisis number. After informing where the accident took place on that call, the ambulance is then dispatched from the control room at that particular place, and then the control room gives the details of the nearest hospital and then informs to the hospital. With this proposed system, the ambulance can be transported without delay from the accident site to the hospital we can easily find the shortest route between the accident site and the hospital reduce wasting time. The user no longer need to call and check the availability of the ambulance. So basically this system uses IoT, GPS and GSM, Dijkstra's algorithm. It uses IoT principle using rest API to check traffic, as well as IoT for traffic signal checking. The RF transmitter is installed in the ambulance and the RF receiver is installed in the traffic light. This changes the signal for a short time to get to the ambulance. In addition, the ambulance finding route is helps by the dijkstra's algorithm to find the shortest path. In this, the android app understands the location of the patient or the crash site, then the system checks which ambulance is within 5 kilometers and sends an alert or request to one of the ambulances and then after accepting the request, the driver understands the location of the crash site.

Keywords

Dijkstras algorithm, GPS, GSM, IoT, Path Finding.

References

  1. Varsha Shingade, Priyanka Talape, Torade Pallavi & Sayali Vetal. “Smart Phone Based Enhancement in Health Services using GPS.” Imperial Journal of Interdisciplinary Research (IJIR), 2016, pp. 433-435.
  2. K. Athavan, G. Balasubramanian, S. Jagadeeshwaran and N. Dinesh, "Automatic Ambulance Rescue System," 2012 Second International Conference on Advanced Computing & Communication Technologies, Rohtak, Haryana, 2012, pp. 190-195.
  3. Wei Yan, Ma Zhigang and Qiu Sihai, "System of medical emergency ambulance for community based on Zigbee," The 2nd International Conference on Information Science and Engineering, Hangzhou, 2010, pp. 6983-6985.
  4. Elgarej Mouhcine, Yassine Karouani, Khalifa Mansouri, Youss? Mohamed, “Toward a Distributed Strategy for Emergency Ambulance Routing Problem”, IEEE, 2018, pp. 978-1-5386-4225.
  5. Advay Thakur, Naveen Yadav, Pawan Gupta, Ajay Sirsat, “A Study on Design of Ambulance Tracking and Route Clearing using GPS, GSM, RFID”, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), 2018, pp. 2320-9801.
  6. A. Palanisamy, S. Praveen Kumar, K. Santhosh Kumar,S. Vaitheswari, D. Nithyanandhan, “Design GPS and GSM based Ambulance Tracking with Health Monitoring System”, International Journal of Engineering Research & Technology (IJERT), 2016, pp. 2278-0181.
  7. Shantanu Sarkar, “Ambulance Assistance for Emergency Services Using GPS Navigation”, International Research Journal of Engineering and Technology (IRJET), 2016, pp. 2395 -0056.
  8. Karthika K, Lavanya G, Pavithra M, Periyathambi P, “Advanced Ambulance Monitoring System using IoT”, International Research Journal of Engineering and Technology (IRJET), 2020, pp. 2395-0056.
  9. Sarbpreet, Somanath Tripathy, K. Jimson Mathew, “Design and Evaluation of an IoT enabled Secure Multi-service Ambulance Tracking System”, IEEE, 2016, pp. 978-1-5090-2597.
  10. Divya D. Nanwani, Puja R. Kshirsagar, Bhavana P. Kawalkar, Pritish Deshmukh, “Ambulance Tracking and Patient Health Monitoring Using GPS and GSM”, International Journal of Emerging Technologies in Engineering Research (IJETER), 2017, pp. 2454-6410.
  11. Arunmozhi, P and Puech William. “Automatic Ambulance Rescue System Using Shortest Path Finding Algorithm.” (2014).
  12. R. Zhang, D. Yuan and Y. Wang, "A Health Monitoring System for Wireless Sensor Networks," 2007 2nd IEEE Conference on Industrial Electronics and Applications, Harbin, 2007, pp. 1648-1652, doi: 10.1109/ICIEA.2007.4318689.
  13. J. Whipple, W. Arensman and M. S. Boler, "A public safety application of GPS-enabled smartphones and the android operating system," 2009 IEEE International Conference on Systems, Man and Cybernetics, San Antonio, TX, 2009, pp. 2059-2061.
  14. M. A. Fera, R. Aswini, M. Santhiya, K. R. G. Deepa and M. Thangaprabha, "HEAL-health monitoring in emergency vehicles with their authentication by RFID and location tracking by GPS," 2015 Seventh International Conference on Advanced Computing (ICoAC), Chennai, 2015, pp. 1-6.
  15. K. Aziz, S. Tarapiah, S. H. Ismail and S. Atalla, "Smart real-time healthcare monitoring and tracking system using GSM/GPS technologies," 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, 2016, pp. 1-7.