This paper calibrates on-line the parameters of a controller-estimated driver behavior model used in a deployable behavior-consistent approach for real-time route guidance by checking the consistency between the time-dependent actual and estimated system states. The behavior model has a fuzzy...

We study regression models for nonstationary categorical time series and their applications, and address the issues of prediction, estimation and control. Generalized Linear Models and Partial Likelihood are the basic tools in the present study. The models link the probabilities of each category...