Density Based Traffic Control using Image Processing Methods: A Review


Authors : Narendra Mohan; Ghanshyam Mishra

Volume/Issue : Volume 7 - 2022, Issue 3 - March

Google Scholar : http://bitly.ws/gu88

Scribd : https://bit.ly/3wBrliU

DOI : https://doi.org/10.5281/zenodo.6383533

Congestion on the roads can result in fatigue, increased fuel consumption, energy and time waste, increased depreciation and fuel costs, air pollution, accidents, and verbal and physical altercation among the commuters. Cost, untrustworthy technology, and the inability of the contemporary system to incorporate elements of the new technology are the few of the challenges which has to be dealt with. Advanced image processing algorithms, such as segmentation and edge detection, can be used to detect vehicle presence in different lanes and calculate traffic density. Thus, India's traffic management system can be improved and enhanced using low-cost solutions. This paper presents a review of various techniques for automated density-based traffic management.

Keywords : Traffic Control, Density based traffic management, Image processing, edge detection.

CALL FOR PAPERS


Paper Submission Last Date
30 - November - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe