Abstract: A method for valuating an object is disclosed, which includes an expert system that determines a value for a rule from the features of the object, weights the value with a weight from [0, 1] and valuates the object based on the value with a rule editor for defining rules for the valuation with one respective weight from [0, 1]; a rule module for determining a value per rule from the features and a valuation module are also disclosed for valuating the object based on the values, wherein the valuation module weights each value determined for a rule with the weight associated with the rule; and in a simplified manner, the expert system determines temporal progressions of the weight in an evolutionary algorithm, commencing with a start value, and selects a limit of the weight as a new weight, when the weight is converging, and the evolution module determines temporal progressions of at least one weight in an evolutionary algorithm selecting a new weight based on a converging behavior of the characteristics.

Abstract: In a method for recognizing disruptions in road traffic within a road sector that is to be monitored at respective measurement cross-sections at the beginning and at the end of the sector, the number and the speed of the vehicles passing through the measurement cross-sections are continuously acquired as measured data, which are collected and compiled cyclically during finite measurement intervals to provide average values of the traffic flow and the speed, and are then evaluated. Each measurement cross-section thereby encompasses all lanes of traffic that can be used in one direction of travel.