AP Positioning for Estimating People Flow as Origin Destination Matrix for Smart Cities

Abstract

Controlling and regulating people flows and the access to the city services are major topics in the context of Smart City management.Flow surveillance provides valuable information about city conditions, useful for not only monitoring and controlling the environmental conditions, but to optimize the exploitation of various city services.In this context, it is mandatory to develop tools for assessing people flow.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 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 Horizon 2020 funded project Resolute (http://www.resolute-eu.org) and for Sii-Mobility.

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