Traffic monitoring for emergency vehicle using RFID

https://doi.org/10.53730/ijhs.v6nS2.8305

Authors

  • B. Kalpana Associate professor, Department of IT, R.M.D. Engineering College
  • Praveen. R Associate professor, Department of IT, R.M.D. Engineering College
  • K. Saravanan Associate professor, Department of IT, R.M.D. Engineering College
  • V. Prasanna Srinivasan Associate professor, Department of IT, R.M.D. Engineering College
  • P. Shobha Rani Associate professor, Department of CSE, R.M.D. Engineering College

Keywords:

RFID, congestion, dataset

Abstract

In developing countries like India population is significantly growing. As the population grows, the numbers of vehicles on the roads are also exponentially increasing, which results in increase in road accidents and traffic jam. Specifically, when an emergency vehicle such as Ambulance or Fire engine gets stuck in traffic jam, saving the human life becomes difficult. Under such circumstances, a promising system which can clear the traffic congestions especially in peak hours and thereby providing a safe path for emergency vehicles is very much essential. In the existing literature, less focus is given towards the problem of providing a clear path for emergency vehicles during traffic congestions. To solve these issues, a RFID-based system is proposed, which manages and regulates the traffic signals at junctions when the emergency vehicle approaches, by allowing the easy passage out of the traffic congestions. The proposed framework is modelled by means of an experimental setup using ARDUINO and LED displays which simulates a real time traffic scenario. The simulation results illustrate the better performance of the proposed framework in terms of detection as well as management of emergency vehicle by providing passage out of traffic congestions  during peak hours.

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Published

02-06-2022

How to Cite

Kalpana, B., Praveen, R., Saravanan, K., Srinivasan, V. P., & Rani, P. S. (2022). Traffic monitoring for emergency vehicle using RFID. International Journal of Health Sciences, 6(S2), 12525–12532. https://doi.org/10.53730/ijhs.v6nS2.8305

Issue

Section

Peer Review Articles