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
Abstract :
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.
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.
