Abstract
Large urban complex becomes more popular nowadays especially in developing countries like China and India. The operators badly need real time crowd population information for various purposes, including customer safety, emergency response, as well as precise marketing. State of the art solutions mainly collect this information by Bluetooth or Wi-Fi, however, both of them need the customers to configure their smart phones in advance, which makes it less practical. In this paper, we propose an accurate and passive approach to estimate real time customer population in urban complexes by monitoring Wi-Fi network activity of mobile devices. We design an effective filter to distinguish customers' mobile devices from non-customers. Experimental results demonstrate that our approach achieves on average 91% accuracy from a real dataset of 16 days through a 2, 250-square meter testbed within a 167,000-square meter urban complex.
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