Abstract
We propose the state-space model for monitoring of two-dimensional network using sensing data. For traffic control, it is important to monitoring the traffic state of the two-dimensional network. For two-dimensional network, it is necessary to consider route choice. Therefore, we constructed of a traffic flow model incorporating route choice. Based on the traffic flow model, we constructed of two types of state space model using observed density and observed diverging number. As a result of model verification, it is found that the number of observation diverging numbers contributes to improvement of the route choice of the model. And, it was found that updating the traffic condition with observed density has better accuracy of congestion estimation than using observed diverging number.
