Passenger Flow Prediction Model using AdaBoost Algorithm based on SVM

Precise prediction of passenger flow has been complicated due to the turbulent essence of the transit structure and the impact method caused by numerous variables. Passenger flow has indeed been discovered to have a nonlinear attribute and a significant seasonal potential. Thus, this research intends to predict passenger flow using adaptive boosting based on a support vector machine.