Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking
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AuthorFernández Ares, Antonio; García Sánchez, Pedro Abelardo; Arenas, M. G.; Mora, A. M.; Castillo Valdivieso, Pedro Ángel
Anomaly detectionDevice trackingCrowd analysisSmart cities
Fernández-Ares, A., García-Sánchez, P., Arenas, M. G., Mora, A. M., & Castillo-Valdivieso, P. A. (2020). Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking. IEEE Access, 8, 54237-54253.
SponsorshipThis work was supported by in part by the Dirección General de Tráfico under Project SPIP2017-02116, in part by the Ministerio de Ciencia, Innovación y Universidades under Grant RTI2018-102002-A-I00, in part by the Ministerio español de Economía y Competitividad under Grant TIN2017-85727-C4-2-P, in part by the FEDER under Grant TEC2015-68752, and in part by the FEDER y Junta de Andalucía under Project B-TIC-402-UGR18.
One of the challenges of this century is to use the data that a smart-city provides to make life easier for its inhabitants. Speci cally, within the area of urban mobility, the possibility of detecting anomalies in the movement of pedestrians and vehicles is an issue of vital importance for the planning and administration of a city. The aim of this paper is to propose a methodology to detect the movement of people from the information transmitted by their smart mobile devices, analyze these data, and be able to detect or recognize anomalies in their behavior. In order to validate this methodology, different experiments have been carried out based on real data aiming to extract knowledge, as well as obtaining a characterisation of the anomalies detected. The use of this methodology might help the city policy makers to better manage their mobility and transport resources.