Semi-Ensemble Learning using Neural Network for Classifying Traffic Condition

Abstract

The growth of technology aims to help human’s activity. One of human’s activity which could use technology is in the transportation area by implementing machine learning. This paper discusses the semi-ensemble method for classifying traffic condition, which could be used to classify the traffic condition for shorten travel time in the road. Semi-ensemble that applied is using voting system which consists of several neural networks. The proposed method in this paper gives better performance result than single neural network Even though the performance result is not increased significantly, enhancement in semi-ensemble with voting system which comes from best-5 performance neural networks also give better result than voting system using 10 neural networks. The performance increased from 82.58% to 82.81% for its accuracy and the rests of performance value increased from 65.09% to 65.62%.