ABSTRACT
Dynamic and macroscopic discretized analytic state-space models of motorway network traffic are more than mere simulation tools; they can be used as a valuable basis for the employment of powerful methods for surveillance and control, such as a Kalman Filter, various Automatic Control methodologies and gradient-based optimization. In the motorway traffic context, this leads to a transparent, convenient and efficient handling of various significant tasks, including dynamic traffic assignment, traffic state estimation and prediction, real-time parameter estimation, incident alarm, travel-time and congestion estimation and prediction, optimal co-ordinated ramp metering, system-optimal or user-optimal route guidance and integrated traffic control.
