Research of Traffic Flow Based on SVM Method

Abstract

The traditional detection method for traffic flow would be not accurate because the shapes of the new style lights of the new vehicles. A new method combined Enhanced binarization method with SVM (Support Vector Machine) Machine learning mode is proposed to improve the accuracy of the recognition scheme of the headlights. Through the introduction of machine learning program can achieve higher accuracy for detecting lights, which has great accuracy and significance in traffic guidance, lighting systems.