Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking
One of the challenges of this century is to use the data that a smart-city provides to make life easier for its inhabitants. Specifically, 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 pla...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9027892/ |
| _version_ | 1819175897552388096 |
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| author | A. Fernandez-Ares P. Garcia-Sanchez M. G. Arenas A. M. Mora P. A. Castillo-Valdivieso |
| author_facet | A. Fernandez-Ares P. Garcia-Sanchez M. G. Arenas A. M. Mora P. A. Castillo-Valdivieso |
| author_sort | A. Fernandez-Ares |
| collection | DOAJ |
| description | One of the challenges of this century is to use the data that a smart-city provides to make life easier for its inhabitants. Specifically, 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. |
| first_indexed | 2024-12-22T21:02:10Z |
| format | Article |
| id | doaj.art-cbdddeadfa8345478ebe3710230d693f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T21:02:10Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cbdddeadfa8345478ebe3710230d693f2022-12-21T18:12:49ZengIEEEIEEE Access2169-35362020-01-018542375425310.1109/ACCESS.2020.29793679027892Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone TrackingA. Fernandez-Ares0https://orcid.org/0000-0001-9774-0651P. Garcia-Sanchez1https://orcid.org/0000-0003-4644-2894M. G. Arenas2https://orcid.org/0000-0001-7600-1374A. M. Mora3https://orcid.org/0000-0003-1603-9105P. A. Castillo-Valdivieso4https://orcid.org/0000-0002-5258-0620Department of Signal Theory, Telematics and Communications, ETSIIT, University of Granada, Granada, SpainDepartment of Computer Science and Engineering, University of Cádiz, Cádiz, SpainDepartment of Computer Architecture and Computer Technology, University of Granada, Cádiz, SpainDepartment of Signal Theory, Telematics and Communications, ETSIIT, University of Granada, Granada, SpainDepartment of Computer Architecture and Computer Technology, University of Granada, Cádiz, SpainOne of the challenges of this century is to use the data that a smart-city provides to make life easier for its inhabitants. Specifically, 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.https://ieeexplore.ieee.org/document/9027892/Anomaly detectiondevice trackingcrowd analysissmart citiessmart devicespeople monitoring |
| spellingShingle | A. Fernandez-Ares P. Garcia-Sanchez M. G. Arenas A. M. Mora P. A. Castillo-Valdivieso Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking IEEE Access Anomaly detection device tracking crowd analysis smart cities smart devices people monitoring |
| title | Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking |
| title_full | Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking |
| title_fullStr | Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking |
| title_full_unstemmed | Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking |
| title_short | Detection and Analysis of Anomalies in People Density and Mobility Through Wireless Smartphone Tracking |
| title_sort | detection and analysis of anomalies in people density and mobility through wireless smartphone tracking |
| topic | Anomaly detection device tracking crowd analysis smart cities smart devices people monitoring |
| url | https://ieeexplore.ieee.org/document/9027892/ |
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