Generating a Mobility-Pattern Database for Urban Traffic Monitoring Using Distributed Acoustic Sensing

Generating a Mobility-Pattern Database for Urban Traffic Monitoring Using Distributed Acoustic Sensing

연구 분야: Databases

학회: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

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.