This paper is published in Volume-4, Issue-2, 2018
Area
Digital Image Processing
Author
C. H. Jeevitha
Co-authors
S. Jeevitha, S. Jenifer, B. Mahalakshmi, S. V. Sathyah, S. Jeya Anusuya
Org/Univ
T. J. S Engineering College, Puduvoyal, Tamil Nadu, India
Pub. Date
14 March, 2018
Paper ID
V4I2-1209
Publisher
Keywords
Traffic Control, Raspberry-pi, Image Processing, Density Calculation, Emergency Vehicle.

Citationsacebook

IEEE
C. H. Jeevitha, S. Jeevitha, S. Jenifer, B. Mahalakshmi, S. V. Sathyah, S. Jeya Anusuya. Gridlock Surveillance and Efficient Reconciliation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
C. H. Jeevitha, S. Jeevitha, S. Jenifer, B. Mahalakshmi, S. V. Sathyah, S. Jeya Anusuya (2018). Gridlock Surveillance and Efficient Reconciliation. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
C. H. Jeevitha, S. Jeevitha, S. Jenifer, B. Mahalakshmi, S. V. Sathyah, S. Jeya Anusuya. "Gridlock Surveillance and Efficient Reconciliation." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Now-a-days road congestion is a major problem due to increasing number of vehicles especially in cities.At present, video monitoring and surveillance systems have been widely used in traffic management.This project is designed in order to achieve effective traffic management. Here we use camera which is placed on the traffic pole that capture the image regularly in the traffic junction and calculates the vehicle density (approximately) in lanes using digital image processing technique. After calculating the density of vehicles, the high density lane is detected. According to that, the signal timing is allotted by using raspberry pi. This also provides facility to handle emergency vehicles automatically and efficiently by using IoT.