All-red pedestrian stages are usually modelled based on an assumption – such as appearing every cycle or every other cycle. A more sophisticated approach is required to provide more accurate modelling. This paper will outline how an assumed uniform pedestrian distribution can be used to predict the appearance frequency of demand dependent pedestrian stages, using pedestrian count data. It will outline how this approach can be combined with the use of bonus greens in LinSig to model demand dependent pedestrian stages. This methodology allows for a more refined approach when compared with traditional modelling assumptions. This paper will also include evidence showing the difference between predicted and observed frequencies. Various sites across Greater Manchester have been part of this study and the data from these sites will be used to support the above. The outcome will be an approach to modelling that can be applied by all users of LinSig.