RT journal article
T1 Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking
A1 Fernández-Ares, A.
A1 García-Sánchez, Pablo
A1 Arenas, M.G.
A1 Mora, A.M.
A1 Castillo-Valdivieso, P.A.
A2 Ingeniería Informática
K1 Anomaly detection
K1 device tracking
K1 crowd analysis
K1 smart cities
K1 smart devices
K1 people monitoring
K1 wireless communications
AB One of the challenges of this century is to use the data that a smart-city provides to makelife easier for its inhabitants. Speci cally, within the area of urban mobility, the possibility of detectinganomalies in the movement of pedestrians and vehicles is an issue of vital importance for the planning andadministration of a city. The aim of this paper is to propose a methodology to detect the movement of peoplefrom the information transmitted by their smart mobile devices, analyze these data, and be able to detector recognize anomalies in their behavior. In order to validate this methodology, different experiments havebeen carried out based on real data aiming to extract knowledge, as well as obtaining a characterisation ofthe anomalies detected. The use of this methodology might help the city policy makers to better managetheir mobility and transport resources.
PB IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SN 2169-3536
YR 2020
FD 2020
LK http://hdl.handle.net/10498/22783
UL http://hdl.handle.net/10498/22783
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026