IOT Based Traffic Management System

Authors

  • Shashank S  Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
  • Kiran P  Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
  • Nischay D  Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
  • Vinay Kumar M  Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
  • B R Vatsala  Assistant Professor, Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India
  • Dr. C. Vidya Raj  Assistant Professor, Department of Computer Science and Engineering, The National Institute of Engineering, Mysuru, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT1217451

Keywords:

Raspberry Pi, Firebase, Camera

Abstract

In 2014, 54% of the total global population was urban residents. The prediction was a growth of nearly 2% each year until 2020 leading to more pressure on the transportation system of cities. Cities should be making their streets run smarter instead of just making them bigger or building more roads. This leads to the proposed system which will use a Raspberry pi and Camera for tracking the number of vehicles leading to time-based monitoring of the system.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shashank S, Kiran P, Nischay D, Vinay Kumar M, B R Vatsala, Dr. C. Vidya Raj, " IOT Based Traffic Management System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.184-187, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT1217451