Application of Traffic State Prediction Methods to Urban Expressway Network in the City of Seoul

Abstract

This paper proposes a traffic state prediction method based on two perspectives; short-term and long-term prediction. Modified KNN method is used for short-term prediction from recent 2 years of historical data set. Pattern of the day of the week is used to predict long-term. To overcome the gap between the result of short-term and long-term prediction, the weighted average for two predicted results is considered as the final predicted result. The proposed method is tested in the real urban expressway network and the performance of the proposed method is evaluated in this paper.