1. A method for computationally predicting future movement behavior of a target object, 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 senor data, wherein in said context based prediction step a probability that the target object will execute a movement behavior at a time is estimated; estimating a future position of the target object:, and outputting a signal representing the estimated future position, wherein 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.