Smart City Gnosys
Smart city article details
| Title | Generating A Mobility-Pattern Database For Urban Traffic Monitoring Using Distributed Acoustic Sensing |
|---|---|
| ID_Doc | 27798 |
| Authors | Martinez C.; Garcia L.; Titos M.; Carthy J.; Camacho J.; Mota S.; Benitez C. |
| Year | 2023 |
| Published | International Geoscience and Remote Sensing Symposium (IGARSS), 2023-July |
| DOI | http://dx.doi.org/10.1109/IGARSS52108.2023.10282653 |
| Abstract | This work presents a methodology to generate a mobility-pattern database for urban traffic monitoring through distributed acoustic sensing. Registers from the continuous monitoring of a live experimental testbed provide three canonical types of events (buses, cars and pedestrians). Their separability for automatic detection and classification is inspected through PCA analysis of their approximate entropy and Hjorth parameters. An automatic detection and labeling procedure is presented and used to generate a database of labeled files accessible and usable for future machine learning approaches. © 2023 IEEE. |
| Author Keywords | Distributed acoustic sensing; Labeled databases; massive sensing; smart cities; urban mobility patterns |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
17123  | 0.869 | Min R.; Chen Y.; Wang H.; Chen Y. | Das Vehicle Signal Extraction Using Machine Learning In Urban Traffic Monitoring | IEEE Transactions on Geoscience and Remote Sensing, 62 (2024) |
| 52316 | 0.857 | Bello J.P.; Mydlarz C.; Salamon J. | Sound Analysis In Smart Cities | Computational Analysis of Sound Scenes and Events (2017) |
| 26438 | 0.854 | García L.; Mota S.; Titos M.; Martínez C.; Segura J.C.; Benítez C. | Fiber Optic Acoustic Sensing To Understand And Affect The Rhythm Of The Cities: Proof-Of-Concept To Create Data-Driven Urban Mobility Models | Remote Sensing, 15, 13 (2023) |