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98% of the cases. This means that we are near the lower bound of the Shannon Entropy, introduced in chapter 2, where the all outcomes, except three, are near zero. It seems nice that the uncertainty in the system behavior is low, and that we can predict nearly at all times the response (namely, when it behaves nominally). Unfortunately, this also means that experiments will not be very informative, because the information about the non-nominal responses is sparse. The Dutch government was precisely interested in modeling the occurrence of those sparse non-nominal events, with probabilities below 10−4 , 10−5 or even 10−6 .

The algorithm could have a memory, and for instance remembers the maximum height encountered as the estimate of the roof height. (In)dependence Sometimes the output of a Virtual Sensor is not directly related to the passage of a single vehicle. It is also possible that a sensor gives multiple outputs for a single value (for instance when a shadow of a vehicle is identified as a separate vehicle). Further, it is possible that the Virtual Sensor gives only one result for two passages (for instance when two vehicles are visible as one, the merged result is a single measurement of double the length).

Those pictures are stored temporarily, because the vehicle has still the opportunity to communicate its payment via the short range communication at the third gantry. When at the third gantry no payment is received for this vehicle, the license plates are automatically read and a passage is added to the monthly bill. 4 S ENSITIVE Z ONES 33 Geometrical computations are very important to estimate the behavior of the subsystems, and will be heavily used for the modeling & simulation of the subsystems.

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