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Traditional methods for deriving performance models of customer flow in real-life systems are manual, timeconsuming and prone to human error. This paper proposes an automated four-stage data processing pipeline which takes as input raw high-precision location tracking data and which outputs a queueing network model of customer flow. The pipeline estimates both the structure of the network and the underlying interarrival and service time distributions of its component service centres. Wedoi:10.7148/2009-0664-0672 dblp:conf/ecms/HorngDJK09 fatcat:sbzgrke7izbtdntuu5367xpb74