Smart Traffic Signaling Using Machine Learning and IoT

Smart Traffic Signaling Using Machine Learning and IoT

Sandeep B1, Jeevitha V2, Mahathi Kashyap3, Mohammed Nihal4, Nithin S S5

1Professor,2Final year Student,3Final year Student, 4Final year Student,5Final year Student

Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shimoga

Abstract – The project, titled “Smart Traffic Signaling using Machine Learning and IoT," introduces an innovative solution for optimizing traffic signal control. By harnessing the power of image processing, IoT, and machine learning, this project will be a real-time system that accurately assesses vehicle density at intersections. The project focuses on training a machine learning model to recognize various vehicle types, including bikes, cars, trucks, and heavy vehicles. This adaptive control mechanism aims to enhance traffic flow efficiency, reduce congestion, and contribute to the advancement of intelligent transportation systems. systems.

Key Words: Machine learning, IoT, Image processing, Smart Traffic.