Analyze and Predict Traffic Flow by Using SVM Model

Inhalt:
Support vector Machine (SVM) model is a supervised machine learning algorithm, which can be applied to the classification of discrete variables and the prediction of continuous variables. Most of the time,SVM model is widely used to implement social services such as medical diagnosis, text classification and marketing. Studies have found that the traffic flow at different time points has a continuous corresponding relationship, which happens to coincide with the support vector machine (SVM) model. This article tries to use SVM model to predict the traffic flow of a certain location and a certain time.