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In order to complete an existing manuscript, we need to perform validation of the method by simulation. Sonja + 1 or 2 persons with background in analytics/statistics would be enough.\r\n\r\nBackground: We have data about estimations of concert visitors'positions using Wi-Fi technology and their smart phones in (then) Amsterdam Arena. The data comes with a lot of errors and uncertainties. We have proposed a method for estimating the crowd density out of this data. The advantage of this method over related work is that the estimations becomes more accurate as the crowd size increases. This has been shown theoretically as a proof-of concept, but we do not have enough video data to confirm experimentally. Therefore, the idea is to validate the method with simulations. \r\n\r\nWhat needs to be done:\r\n\r\n1. Use state of the art crowd simulator to simulate concert crowd with various increasing crowd densities.\r\n2. Use the actual data of Wi-Fi location estimations to model the probability distributions of the errors in the estimations.\r\n3. Draw samples from those distributions to introduce errors/uncertainties in the simulated data through time. \r\n4. Apply the proposed method to estimate the crowd density.\r\n5. Compare the obtained crowd density with the method to the density as given by step 1. \r\n6. Check if the relative difference in step 5 becomes smaller as the crowd size increases. If it does (it should!), we have completed the paper :).  \r\n\r\n\r\n "}}
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