Data Assimilation Approach to Adaptive Forecasting using Floating Car Data
Frank Terpstra, G.R. Meijer · UvA-DARE (University of Amsterdam) · 2006
Abstract. This paper addresses the development of information sys-tems in the Intelligent Transport Systems (ITS) domain, which are able to combine historical and real-time data for the purpose of forecasting. We will show with experiments the suitability of Dynamic Harmonic Re-gression for modelling trac, and how this method ts within our Data Assimilation approach to building an adaptive forecasting system. 1