Method for approximate determination of a time and space related value, such as traffic density over a given area, from sensor-captured start data with the area expanded by use of a learning technique such as neuronal network

摘要

Method whereby data is recorded using a sensor system and used with a learning technique that automatically generates a link between time and space related data at a first location and corresponding data at a second location, using a learning method with a neuronal network and or regression analysis, and or a genetic algorithm, and or a symbolic learning method. The invention also relates to a corresponding device and computer program product.