A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus
Human tracking and traffic monitoring systems are required to build advanced intelligent, innovative mobility services. In this study, we introduce an IoT system based on low-cost hardware that has been installed on the campus of the University of Malaga, in Spain. The sensors gather smart wireless...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/17/6585 |
| _version_ | 1797493081050710016 |
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| author | Jamal Toutouh Enrique Alba |
| author_facet | Jamal Toutouh Enrique Alba |
| author_sort | Jamal Toutouh |
| collection | DOAJ |
| description | Human tracking and traffic monitoring systems are required to build advanced intelligent, innovative mobility services. In this study, we introduce an IoT system based on low-cost hardware that has been installed on the campus of the University of Malaga, in Spain. The sensors gather smart wireless devices (Bluetooth and Wi-Fi) anonymous information and environmental noise level around them. This research studies the spatio-temporal behavior of people and noise pollution in the campus as a short-scale Smart City, i.e., a Smart Campus. Applying specific machine learning algorithms, we have analyzed two months of captured data (61 days). The main findings from the analysis show that most university community members move through the campus at similar hours, generating congestion problems. In addition, the campus suffers from acoustic pollution according to regulations; therefore, we conclude that the proposed system is useful for gathering helpful information for the university community members and managers. Thanks to its low cost, it can be easily extended and even used in other similar environments, allowing democratic access to Smart City services as an excellent added value. |
| first_indexed | 2024-03-10T01:14:53Z |
| format | Article |
| id | doaj.art-23786cfa897b469e918bf9dc78dfe331 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:14:53Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-23786cfa897b469e918bf9dc78dfe3312023-11-23T14:10:58ZengMDPI AGSensors1424-82202022-08-012217658510.3390/s22176585A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart CampusJamal Toutouh0Enrique Alba1Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, 29071 Malaga, SpainDepartamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, 29071 Malaga, SpainHuman tracking and traffic monitoring systems are required to build advanced intelligent, innovative mobility services. In this study, we introduce an IoT system based on low-cost hardware that has been installed on the campus of the University of Malaga, in Spain. The sensors gather smart wireless devices (Bluetooth and Wi-Fi) anonymous information and environmental noise level around them. This research studies the spatio-temporal behavior of people and noise pollution in the campus as a short-scale Smart City, i.e., a Smart Campus. Applying specific machine learning algorithms, we have analyzed two months of captured data (61 days). The main findings from the analysis show that most university community members move through the campus at similar hours, generating congestion problems. In addition, the campus suffers from acoustic pollution according to regulations; therefore, we conclude that the proposed system is useful for gathering helpful information for the university community members and managers. Thanks to its low cost, it can be easily extended and even used in other similar environments, allowing democratic access to Smart City services as an excellent added value.https://www.mdpi.com/1424-8220/22/17/6585smart mobilityIoTnoise pollution |
| spellingShingle | Jamal Toutouh Enrique Alba A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus Sensors smart mobility IoT noise pollution |
| title | A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus |
| title_full | A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus |
| title_fullStr | A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus |
| title_full_unstemmed | A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus |
| title_short | A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus |
| title_sort | low cost iot cyber physical system for vehicle and pedestrian tracking in a smart campus |
| topic | smart mobility IoT noise pollution |
| url | https://www.mdpi.com/1424-8220/22/17/6585 |
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