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Information and Communications Technologies and, in particular, the Internet of Things will play a key role on this, since they will allow monitoring and optimizing all the municipal services that exist and shall exist. People flow monitoring stands out in this context due to its wide range of applications, spanning from monitoring transport infrastructure to physical security applications. There are different techniques to perform people flow monitoring, presenting pros and cons, as in any other engineering problem. Typically, the options that provide the most accurate results are also the most expensive ones, whereas there are cases where presence detection in given areas is enough and cost is a limiting factor. The main goal of this paper is to prove that a minimal deployment of sensors, combined with the adequate analysis and visualization algorithms, can render useful results. In order to achieve this goal, a dataset is used with 1\u2010year data from a real infrastructure composed of 9 Wi\u2010Fi tracking sensors deployed in the Telecommunications Engineering School of Universidad Polit\u00e9cnica de Madrid, which is visited by 4000 people daily and covers 1.8 hectares. The data analysis includes time and occupancy, position of people, and identification of common behaviors, as well as a comparison of the accuracy of the considered solution with actual data and a video monitoring system available at the library of the school. The obtained insights can be used for optimizing the management and operation of the school, as well as for other similar infrastructures and, in general, for other kind of applications which require not very accurate people flow monitoring at low cost.<\/jats:p>","DOI":"10.1155\/2018\/3136471","type":"journal-article","created":{"date-parts":[[2018,12,2]],"date-time":"2018-12-02T18:33:12Z","timestamp":1543775592000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Smart Behavioral Analytics over a Low\u2010Cost IoT Wi\u2010Fi Tracking Real Deployment"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5683-6403","authenticated-orcid":false,"given":"Javier","family":"Andi\u00f3n","sequence":"first","affiliation":[]},{"given":"Jos\u00e9 M.","family":"Navarro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9954-3504","authenticated-orcid":false,"given":"Gregorio","family":"L\u00f3pez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2747-9798","authenticated-orcid":false,"given":"Manuel","family":"\u00c1lvarez-Campana","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9689-4798","authenticated-orcid":false,"given":"Juan C.","family":"Due\u00f1as","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,12,2]]},"reference":[{"key":"e_1_2_10_1_2","unstructured":"2018 Revision of World Urbanization Prospects | Multimedia Library - United Nations Department of Economic and Social Affairs https:\/\/www.un.org\/development\/desa\/publications\/2018-revision-of-world-urbanization-prospects.html."},{"key":"e_1_2_10_2_2","unstructured":"PallotM. 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