A method and system for predicting movement behavior of a target traffic object

The invention regards a method for computationally predicting future movement behavior of a target object and program comprising the steps of producing sensor data by at least one sensor physically sensing the environment of a host vehicle, computing a plurality of movement behavior alternatives of the target object sensed by the sensors, by predicting movement behaviors of the target object applying a context based prediction step using at least one indirect indicator and/or indicator combinations derived from sensor data, wherein in said context based prediction step a probability that the target object will execute a movement behavior at a time is estimated. A future position of the target object is estimated and a signal representing the estimated future position is outputted. In the context based prediction step at least one history indicator for at least one movement behavior alternative is generated for a current point in time using at least one indicator value of an indirect indicator at a point in time in the past.