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Remote Sensing
Volume 15
Issue 13
10.3390/rs15133282
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Article

Fiber Optic Acoustic Sensing to Understand and Affect the Rhythm of the Cities: Proof-of-Concept to Create Data-Driven Urban Mobility Models

by
Luz García
1,2,*,
Sonia Mota
1,2,
Manuel Titos
1,2,
Carlos Martínez
1,2,
Jose Carlos Segura
1,2 and
Carmen Benítez
1,2
1
Department of Signal Theory, Telematics and Communications, University of Granada, 18071 Granada, Spain
2
Research Center on Information and Communications Technology (CITIC), University of Granada, 18071 Granada, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(13), 3282; https://doi.org/10.3390/rs15133282
Submission received: 1 May 2023 / Revised: 20 June 2023 / Accepted: 21 June 2023 / Published: 26 June 2023
(This article belongs to the Special Issue Multi-Sensor Systems and Data Fusion in Remote Sensing II)
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Abstract

In the framework of massive sensing and smart sustainable cities, this work presents an urban distributed acoustic sensing testbed in the vicinity of the School of Technology and Telecommunication Engineering of the University of Granada, Spain. After positioning the sensing technology and the state of the art of similar existing approaches, the results of the monitoring experiment are described. Details of the sensing scenario, basic types of events automatically distinguishable, initial noise removal actions and frequency and signal complexity analysis are provided. The experiment, used as a proof-of-concept, shows the enormous potential of the sensing technology to generate data-driven urban mobility models. In order to support this fact, examples of preliminary density of traffic analysis and average speed calculation for buses, cars and pedestrians in the testbed’s neighborhood are exposed, together with the accidental presence of a local earthquake. Challenges, benefits and future research directions of this sensing technology are pointed out.
Keywords: distributed acoustic sensing; urban mobility patterns; optical fiber; smart cities; massive sensing distributed acoustic sensing; urban mobility patterns; optical fiber; smart cities; massive sensing

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MDPI and ACS Style

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 Sens. 2023, 15, 3282. https://doi.org/10.3390/rs15133282

AMA Style

García L, Mota S, Titos M, Martínez C, Segura JC, 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. 2023; 15(13):3282. https://doi.org/10.3390/rs15133282

Chicago/Turabian Style

García, Luz, Sonia Mota, Manuel Titos, Carlos Martínez, Jose Carlos Segura, and Carmen Benítez. 2023. "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, no. 13: 3282. https://doi.org/10.3390/rs15133282

APA Style

García, L., Mota, S., Titos, M., Martínez, C., Segura, J. C., & Benítez, C. (2023). 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), 3282. https://doi.org/10.3390/rs15133282

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