Modeling Parking Occupancy Using Algorithm of 3D Visibility Network
The modernization of the information communication infrastructure of the regional data transmission network has advanced in order to increase the maximum transmission speed of existing transport routes, ensuring the quality of the service and its reliability. In the present research work, a new appr...
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| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10971351/ |
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| author | Matej Babic Branko Ster Ladislav Hluchy Giuliana Baiamonte Michele Cali |
| author_facet | Matej Babic Branko Ster Ladislav Hluchy Giuliana Baiamonte Michele Cali |
| author_sort | Matej Babic |
| collection | DOAJ |
| description | The modernization of the information communication infrastructure of the regional data transmission network has advanced in order to increase the maximum transmission speed of existing transport routes, ensuring the quality of the service and its reliability. In the present research work, a new approach for the 3D visibility network algorithm has been developed, showing how graph theory applied to wireless sensor networks (WSNs) enables technological development for new solutions in areas such as public infrastructure. The possibility of determining in such networks whether an area of interest is sufficiently covered by a given set of sensors by means of the Voronoi diagram is discussed. The parking dynamics and parking system were modeled with cellular neural networks (CNNs) based on weather conditions, and magnetic parking sensors were replaced with pillar sensors. The proposed method has proven its effectiveness in determining the position of the minimum sensors covering the area of interest, in order to find a solution in the occupation of parking spaces in the presence of different weather conditions. The proposed approach and experimental results offer potential applications in various fields such as lighting and rendering, motion planning, pattern recognition, computer graphics and computational geometry, in order to conduct studies on problems and perspectives of pillar sensor technology while reducing costs compared to magnetic ones. |
| format | Article |
| id | doaj-art-a0c292b2109d4d87a3a1f8c22d4c4e45 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a0c292b2109d4d87a3a1f8c22d4c4e452025-08-20T01:53:26ZengIEEEIEEE Access2169-35362025-01-0113844248443410.1109/ACCESS.2025.356279610971351Modeling Parking Occupancy Using Algorithm of 3D Visibility NetworkMatej Babic0Branko Ster1https://orcid.org/0009-0006-6498-0601Ladislav Hluchy2Giuliana Baiamonte3https://orcid.org/0009-0004-7620-9625Michele Cali4https://orcid.org/0000-0001-8753-8804Faculty of Information Studies, Novo Mesto, SloveniaFaculty of Computer and Informatics, University of Ljubljana, Ljubljana, SloveniaSlovak Academy of Sciences, Institute of Informatics, Bratislava, SlovakiaElectric, Electronics and Computer Engineering Department, University of Catania, Catania, ItalyElectric, Electronics and Computer Engineering Department, University of Catania, Catania, ItalyThe modernization of the information communication infrastructure of the regional data transmission network has advanced in order to increase the maximum transmission speed of existing transport routes, ensuring the quality of the service and its reliability. In the present research work, a new approach for the 3D visibility network algorithm has been developed, showing how graph theory applied to wireless sensor networks (WSNs) enables technological development for new solutions in areas such as public infrastructure. The possibility of determining in such networks whether an area of interest is sufficiently covered by a given set of sensors by means of the Voronoi diagram is discussed. The parking dynamics and parking system were modeled with cellular neural networks (CNNs) based on weather conditions, and magnetic parking sensors were replaced with pillar sensors. The proposed method has proven its effectiveness in determining the position of the minimum sensors covering the area of interest, in order to find a solution in the occupation of parking spaces in the presence of different weather conditions. The proposed approach and experimental results offer potential applications in various fields such as lighting and rendering, motion planning, pattern recognition, computer graphics and computational geometry, in order to conduct studies on problems and perspectives of pillar sensor technology while reducing costs compared to magnetic ones.https://ieeexplore.ieee.org/document/10971351/3D visibility network-graphconvolutional neural networksensor networkvoronoi diagramswireless networks algorithm |
| spellingShingle | Matej Babic Branko Ster Ladislav Hluchy Giuliana Baiamonte Michele Cali Modeling Parking Occupancy Using Algorithm of 3D Visibility Network IEEE Access 3D visibility network-graph convolutional neural network sensor network voronoi diagrams wireless networks algorithm |
| title | Modeling Parking Occupancy Using Algorithm of 3D Visibility Network |
| title_full | Modeling Parking Occupancy Using Algorithm of 3D Visibility Network |
| title_fullStr | Modeling Parking Occupancy Using Algorithm of 3D Visibility Network |
| title_full_unstemmed | Modeling Parking Occupancy Using Algorithm of 3D Visibility Network |
| title_short | Modeling Parking Occupancy Using Algorithm of 3D Visibility Network |
| title_sort | modeling parking occupancy using algorithm of 3d visibility network |
| topic | 3D visibility network-graph convolutional neural network sensor network voronoi diagrams wireless networks algorithm |
| url | https://ieeexplore.ieee.org/document/10971351/ |
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