A Review Paper on Smart Traffic Control System with machine learning

Author(s)	Prakash Sangle
Country	India
Abstract	The escalating number of vehicles worldwide has resulted in a pervasive issue of traffic jams, consuming valuable man-hours at major junctions. The conventional traffic management paradigm is effective only under low traffic conditions; however, it fails when faced with imbalances in vehicle density on different sides of the road. In response to this challenge, we propose a paradigm shift from static to dynamic signal switching in traffic signal systems. This innovative approach aims to redesign the traditional traffic management system, offering efficient control in situations where vehicle density fluctuates, thereby addressing the need for an adaptive and intelligent traffic management system
Keywords	Smart Traffic Control, Dynamic Signal Switching, Traffic Management, Adaptive Systems, Intelligent Transportation, Machine Learning
Field	Engineering
Published In	Volume 2, Issue 1, January-February 2021
Published On	2021-01-12

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Advanced International Journal for Research