Long-range traffic monitoring based on pulse-compression distributed acoustic sensing and advanced vehicle tracking and classification algorithm
| dc.contributor.author | Corera Orzanco, Íñigo | |
| dc.contributor.author | Piñeiro Ben, Enrique | |
| dc.contributor.author | Navallas Irujo, Javier | |
| dc.contributor.author | Sagüés García, Mikel | |
| dc.contributor.author | Loayssa Lara, Alayn | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.date.accessioned | 2023-07-31T17:22:21Z | |
| dc.date.available | 2023-07-31T17:22:21Z | |
| dc.date.issued | 2023 | |
| dc.date.updated | 2023-07-31T17:16:40Z | |
| dc.description.abstract | We introduce a novel long-range traffic monitoring system for vehicle detection, tracking, and classification based on fiber-optic distributed acoustic sensing (DAS). High resolution and long range are provided by the use of an optimized setup incorporating pulse compression, which, to our knowledge, is the first time that is applied to a traffic-monitoring DAS system. The raw data acquired with this sensor feeds an automatic vehicle detection and tracking algorithm based on a novel transformed domain that can be regarded as an evolution of the Hough Transform operating with non-binary valued signals. The detection of vehicles is performed by calculating the local maxima in the transformed domain for a given time-distance processing block of the detected signal. Then, an automatic tracking algorithm, which relies on a moving window paradigm, identifies the trajectory of the vehicle. Hence, the output of the tracking stage is a set of trajectories, each of which can be regarded as a vehicle passing event from which a vehicle signature can be extracted. This signature is unique for each vehicle, allowing us to implement a machine-learning algorithm for vehicle classification purposes. The system has been experimentally tested by performing measurements using dark fiber in a telecommunication fiber cable running in a buried conduit along 40 km of a road open to traffic. Excellent results were obtained, with a general classification rate of 97.7% for detecting vehicle passing events and 99.6% and 85.7% for specific car and truck passing events, respectively. | en |
| dc.description.sponsorship | This work was supported in part by European Union “Next generationEU”/PRTR and MCIN/AEI/10.13039/501100011033 under grant PDC2021-121172-C21, in part by FEDER “A way to make Europe” and MCIN/AEI/10.13039/501100011033 under grant PID2019-107270RB, and in part by Gobierno de Navarra under grant PC210-211 FIBRATRAFIC. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Corera, I., Piñeiro, E., Navallas, J., Sagues, M., & Loayssa, A. (2023). Long-range traffic monitoring based on pulse-compression distributed acoustic sensing and advanced vehicle tracking and classification algorithm. Sensors, 23(6), 3127. https://doi.org/10.3390/s23063127 | en |
| dc.identifier.doi | 10.3390/s23063127 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/45867 | |
| dc.language.iso | eng | en |
| dc.publisher | MDPI | en |
| dc.relation.ispartof | Sensors 2023, 23(6), 3127 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PDC2021-121172-C21/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107270RB-C22/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//PC210-211 FIBRATRAFIC/ | |
| dc.relation.publisherversion | https://doi.org/10.3390/s23063127 | |
| dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Distributed acoustic sensing | en |
| dc.subject | Optical pulse compression | en |
| dc.subject | Optical time domain reflectometry | en |
| dc.subject | Traffic monitoring | en |
| dc.subject | Vehicle classification | en |
| dc.title | Long-range traffic monitoring based on pulse-compression distributed acoustic sensing and advanced vehicle tracking and classification algorithm | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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