Density Based Traffic Control using Image Processing Methods: A Review

Authors : Narendra Mohan; Ghanshyam Mishra

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

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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.


Paper Submission Last Date
31 - December - 2023

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