Abstract: A method and an apparatus for signalling local traffic disturbances wherein a decentralised communication between vehicles is performed by exchanging their respective vehicle data. Through repeated evaluation of these individual vehicle data, each reference vehicle may determine a group of vehicles having relevance for itself from within a maximum group of vehicles and compare the group behavior of the relevant group with its own behavior. The results of this comparison are indicated in the reference vehicle, whereby a homogeneous flow of traffic may be generated, and the occurrence of accidents is reduced.

Abstract: The invention concerns a method of pattern recognition in which the pattern of an n-dimensional object is captured by a data-processing device which can image and process the n-dimensional object with different degrees of precision (s) within a computer. The invention comprises the following steps: the n dimensional object is imaged in the computer with at least two different degrees of precision (s); at least one parameter (U) of the n-dimensional object is determined by integration or summation for each imaged degree of precision(s); and the functional dependency (U(s)) of the integrated or summed parameter or parameters on the degree of precision(s) is determined and used as a measure for the pattern to be recognized. The pattern-recognizing method according to the invention is likewise based on these method steps.