One of the difficulties in the development of artificial neural
network (ANN) models is that, unlike statistical modelling where
estimates of sample size can be initially computed, the number of
samples or observations ...
One of the challenges in using field data for the development of neural
network incident detection models is to be able to train models that can
handle the noisy nature of the loop detector data. The noise in the ...
Common measures of performance of incident detection
algorithms are detection rate, false alarm rate and mean time-todetect.
These measures are not independent and it is therefore
necessary to determine the underlying ...