This paper presents a methodology for an effective placement of counter sensors, to model flows with a statistically significant precision rate. Comparative analyses are conducted with respect to the real data (i.e., cab traces) of the city of San Francisco. Several different placing methodologies of Wi-Fi access points have been tested and compared, to minimize the cost of AP installation. The research work described in this paper has been conducted in the scope of the EC funded Horizon 2020 project Resolute (http://www.resolute-eu.org), and of the Sii-Mobility project (www.sii-mobility.org).
AP Positioning for Estimating People Flow as Origin Destination Matrix for Smart Cities / Bellini, Pierfrancesco; Cenni, Daniele; Nesi, Paolo. - ELETTRONICO. - (2016), pp. 1-9. (Intervento presentato al convegno 22nd International Conference on Distributed Multimedia Systems, DMS 2016 tenutosi a Salerno, Italy nel 25-26 november 2016).
AP Positioning for Estimating People Flow as Origin Destination Matrix for Smart Cities
pierfrancesco bellini;daniele cenni;paolo nesi
2016
Abstract
This paper presents a methodology for an effective placement of counter sensors, to model flows with a statistically significant precision rate. Comparative analyses are conducted with respect to the real data (i.e., cab traces) of the city of San Francisco. Several different placing methodologies of Wi-Fi access points have been tested and compared, to minimize the cost of AP installation. The research work described in this paper has been conducted in the scope of the EC funded Horizon 2020 project Resolute (http://www.resolute-eu.org), and of the Sii-Mobility project (www.sii-mobility.org).
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