Traffic Forecast Using a Combination of On-Line Simulation and Traffic Data

In this contribution an approach to traffic forecast using a micro-simulator is presented. In order to provide network-wide information about the current traffic state a cellular automaton traffic flow model is combined with measured data. The framework is applied to the freeway network of North Rhine-Westphalia (NRW), where data from about 3,500 inductive loops are available and provided on-line minute by minute.