| Title |
A Review Paper on Smart Traffic Control System with machine learning |
| 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 |
| Reserch Area |
Engineering |
| Reserch Paper |
Final AIJFR2301002 - V1 I1 - 11-20.pdf |
| Author(s) |
Prakash Sangle |
| Country |
India |
