This paper describes the models implemented in the GERDIEN Network State Monitoring and Prediction system (NSMP). A general description is given of the NSMP system and its context. The three submodels currently implemented are models for estimating current roadway capacity, for detecting congestion and estimating travel times and for predicting the near future traffic state. The models are described in a global way and performance results are reported. (A)
Abstract