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This paper describes a field study for the validation of algorithms developed by ARRB for the online estimation of queue lengths in scats. The algorithms include link flow estimation by the recursive least squares (rls) technique, and queue length estimation by platoon dispersion modelling. Two types of queue lengths were measured in the survey. They are the queue length at the start of a green period, and the maximum back of queue as a platoon joins the stationary queue at green start. The survey was carried out on one road link in Canterbury Road, Box Hill, Melbourne, for a measurement period of six hours. The results indicate that the scats counts and flow profiles are sufficiently accurate for online queue length and delay estimation. The rls estimator was successfully employed in link flow estimation. It achieved a high correlation coefficient between the measured and predicted link flow, and a mean …