An Online Change-Point-Based Model for Traffic Parameter Prediction

• Published in: IEEE transactions on intelligent transportation systems Vol. 14; no. 3; pp. 1360 - 1369
• Main Authors: Comert, Gurcan, Bezuglov, Anton
• Format: Journal Article
• Language: English
• Published: IEEE 01.09.2013
• Subjects: Adaptation models; Change point models; Data models; Forecasting; hidden Markov model (HMM); Hidden Markov models; Numerical models; Prediction algorithms; Predictive models; time-series autoregressive integrated moving average (ARIMA); traffic prediction

This paper develops a method for predicting traffic parameters under abrupt changes based on change point models. Traffic parameters such as speed, flow, and density are subject to shifts because of weather, accidents, driving characteristics, etc. An intuitive approach of employing the hidden Marko...