ESTIMATION OF DYNAMIC ORIGIN DESTINATION MATRIX OF TRAFFIC SYSTEMS

Abstract

The paper suggests the necessity of the estimation of unmeasured variables of traffic systems. The presented method proposes constrained state estimation of unmeasured traffic variable such as turning rates. The weighted constrained state approach uses moving horizon along the state trajectory which permits to handle equality and inequality constraints belonging to the nature of the traffic model. A numerical example illustrates the importance of constrained estimation.