Density Based Traffic Control

Authors

  • N Sudha Laxmaiah  Assistant Professor, Department of CSE, Bhoj Reddy Engineering College for Woman, Vinay Nagar, Hyderabad, Telangana, India.
  • Bingi Shriya Samrithi  B.Tech. Scholar, Department of CSE, Bhoj Reddy Engineering College for Woman, Vinay Nagar, Hyderabad, Telangana, India
  • Bijjula Sindhuja  B.Tech. Scholar, Department of CSE, Bhoj Reddy Engineering College for Woman, Vinay Nagar, Hyderabad, Telangana, India

Keywords:

Traffic Congestion, Software Application, Traffic Signal

Abstract

With the rapid development of road infrastructure, the volume of the vehicle on the road network increases which leads to traffic Congestion. The exact situation exists in the Coimbatore cities. Traffic congestions are amongst the top list of the problems faced in Muscat and other cities around Coimbatore. This is mainly caused due to the rapid surprise in the number of vehicles in a short period. To overcome such an impact of traffic congestions, it is required to develop an IoT Based traffic control system. The proposed system would be based on the measurement of the actual traffic density on the road. This would be achieved using real-time video and image processing techniques. Wherein the images captured and are stored in the server, which will be compared with the real-time image captured via camera to identify the density. The theme is to control the traffic by determining the traffic density on each side of the four roads and enabling a controlling option of the traffic signal to the user through a software application.

References

  1. Dr.Brenner, “Consultant for Intelligent Transportation System Studies”, Muscat, 2015.
  2. Divya Vani P., Aruna. K. and Ragvendra Rao K., ”Internet of Things-A Practical Approach to Certain Cloud Services using CC3200,” Internet of Things-A Practical Approach to Certain Cloud Services using CC3200-Volume 117 No. 10 , 2017.
  3. S. Kumar Janahan, M. R.M. Veeramanickam, S. Arun, K. Narayanan, R.Anandan and S. Javed Parvez,
  4. “IoT based smart traffic signal monitoring system using vehicles counts”, International Journal of Engineering and Technology, vol. 7, no. 221, p. 309, 2018.
  5. Ashok P.V, SivaSankari. S and V. M. S. Sankaranarayanan, “IoT Based Traffic Signalling System”, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Issue 19 (2017) pp. 8264-8269.
  6. Srinivasan, Y. Priyadharshini Rajesh, S. Yuvaraj and M. Manigandan, “Smart traffic control with ambulance detection”, IOP Conference Series: Materials Science and Engineering, vol. 402, p. 012015, 2018.
  7. R. P. Nimkar and C. N. Deshmukh, “Traffic Density Monitoring And Cattle Menace Alert System Using IoT”, International Journal of Research in Engineering and Technology, pp. 96-104, 2018.
  8. K. Ramachandran and R. Priya, “IoT Based Traffic Management System and Congestion Control”, International Consortium of Scientists and Researchers, Volume 3, Issue 1, Dec, 2017.
  9. N. Choosri, Y. Park, S. Grudpan, P. Chuarjedton, and A. Ongvisesphaiboon, “IoT-RFID Testbed for Supporting Traffic Light Control”, International Journal of Information and Electronics Engineering, Vol. 5, No. 2, March 2015.

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Published

2023-04-30

Issue

Section

Research Articles

How to Cite

[1]
N Sudha Laxmaiah, Bingi Shriya Samrithi, Bijjula Sindhuja, " Density Based Traffic Control, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.262-266, March-April-2023.