Intelligent Emergency Vehicle Preemption Using A Density Based System

Authors

  • Voruganti Anirudh
  • M Neelaveni Ammal
  • Datla Suryatej
  • A V Satvik

DOI:

https://doi.org/10.14419/ijet.v7i3.12.16431

Published:

2018-07-20

Keywords:

Vehicle pre-emption, Image Processing, RaspberryPi, Traffic Density estimation

Abstract

Transit by road is one of the crude methods of transportation in various parts of the world as of today. The abundance of vehicles utilizing the street is expanding in an ascending order consistently. Because to this reason, trafï¬c congestion in urban areas is becoming inescapable these days. The normal purpose behind trafï¬c blockage is because of poor trafï¬c prioritization, wherein a portion of the paths may have less trafï¬c than the others with measure up to signal light length for both the paths. This Inefï¬cient administration of trafï¬c leads to wastage of crucial time, contamination, wastage of fuel, expenditure of transportation and worry to drivers, and so on however more vitally emergency vehicles like rescue vehicle stall out in trafï¬c. Our project is on density based trafï¬c control with the need to prioritize vehicles like emergency vehicle and ï¬re brigade. In this way, it is especially important to plan a system to keep away from the setbacks. In this way counteracting mishaps, impacts, and trafï¬c jams.

 

 

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How to Cite

Anirudh, V., Neelaveni Ammal, M., Suryatej, D., & V Satvik, A. (2018). Intelligent Emergency Vehicle Preemption Using A Density Based System. International Journal of Engineering & Technology, 7(3.12), 572–575. https://doi.org/10.14419/ijet.v7i3.12.16431

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Received 2018-07-28
Accepted 2018-07-28
Published 2018-07-20