Traffic Flow Detection Using Distributed Fiber Optic Acoustic Sensing

Liu, Huiyong; Ma, Jihui; Yan, Wei; Liu, Wensheng; Zhang, Xi; Li, Congcong

doi:10.1109/access.2018.2868418

Cited by 69 publications

(38 citation statements)

References 14 publications

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“…Zhang et al [ 52 ] and Liu et al [ 169 ]’s scope was very similar in nature to the above article. This time, though, for vehicular traffic flow monitoring.…”

Section: An Eye Towards the Futurementioning

confidence: 59%

A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

Bado

Casas

2021

Sensors

240

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The present work is a comprehensive collection of recently published research articles on Structural Health Monitoring (SHM) campaigns performed by means of Distributed Optical Fiber Sensors (DOFS). The latter are cutting-edge strain, temperature and vibration monitoring tools with a large potential pool, namely their minimal intrusiveness, accuracy, ease of deployment and more. Its most state-of-the-art feature, though, is the ability to perform measurements with very small spatial resolutions (as small as 0.63 mm). This review article intends to introduce, inform and advise the readers on various DOFS deployment methodologies for the assessment of the residual ability of a structure to continue serving its intended purpose. By collecting in a single place these recent efforts, advancements and findings, the authors intend to contribute to the goal of collective growth towards an efficient SHM. The current work is structured in a manner that allows for the single consultation of any specific DOFS application field, i.e., laboratory experimentation, the built environment (bridges, buildings, roads, etc.), geotechnical constructions, tunnels, pipelines and wind turbines. Beforehand, a brief section was constructed around the recent progress on the study of the strain transfer mechanisms occurring in the multi-layered sensing system inherent to any DOFS deployment (different kinds of fiber claddings, coatings and bonding adhesives). Finally, a section is also dedicated to ideas and concepts for those novel DOFS applications which may very well represent the future of SHM.

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“…Zhang et al [ 52 ] and Liu et al [ 169 ]’s scope was very similar in nature to the above article. This time, though, for vehicular traffic flow monitoring.…”

Section: An Eye Towards the Futurementioning

confidence: 59%

A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

Bado

Casas

2021

Sensors

240

View full text Add to dashboard Cite

show abstract

“…On the other hand, one of the main promises of DAS is its versatility in deployment conditions, with interesting deployment targets including "heterogeneous" environments such as urban areas (Dou et al, 2017;Fang et al, 2020) and submarine basins (Lindsey et al, 2019;Sladen et al, 2019). For many civil monitoring applications, such as traffic density monitoring (Liu et al, 2018) and vehicle tracking (Wiesmeyr et al, 2020), some of the issues pointed out in the previous section do not apply, as the signals of interest arrive at the DAS fibre at a shallow (or zero) inclination. However, for the purpose of localising deep or distant sources, the inclination sensitivity of DAS starts to become directly relevant.…”

Section: Implications For Beamforming On Sparse and Dense Das Arraysmentioning

confidence: 99%

Evaluating Seismic Beamforming Capabilities of Distributed Acoustic Sensing Arrays

Ende¹,

Ampuero²

2020

Preprint

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Abstract. The versatility and cost-efficiency of fibre-optic Distributed Acoustic Sensing (DAS) technologies facilitate geophysical monitoring in environments that were previously inaccessible for instrumentation. Moreover, the spatio-temporal data density permitted by DAS naturally appeals to seismic array processing techniques, such as beamforming for source location. However, the measurement principle of DAS is inherently different from that of conventional seismometers, providing measurements of ground strain rather than ground motion, and so the suitability of traditional seismological methods requires in-depth evaluation. In this study, we evaluate the performance of a DAS array in the task of seismic beamforming, in comparison with a co-located nodal seismometer array. We find that, even though the nodal array achieves excellent performance in localising a regional ML 4.3 earthquake, the DAS array exhibits poor waveform coherence and consequently produces inadequate beamforming results that are dominated by the signatures of shallow scattered waves. We demonstrate that this behaviour is likely inherent to the DAS measurement principle, and so new strategies need to be adopted to tailor array processing techniques to this emerging measurement technology.

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“…An alternative technique for detecting vehicles is sensors employing optical fiber described by Liu et al [ 14 ]. There are different working principals of this kind of sensor, but generally, the measurement is based on changes in the fiber refraction index owing to mechanical stresses.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Methods for Long Vehicles Speed Estimation Using Anisotropic Magneto-Resistive (AMR) Sensors and Reference Piezoelectric Sensor

Markevičius

Navikas

Miklusis

et al. 2020

Sensors

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With rapidly increasing traffic occupancy, intelligent transportation systems (ITSs) are a vital feature for urban areas. This paper analyses methods for estimating long (L > 10 m) vehicle speed and length using a self-developed system, equipped with two anisotropic magneto-resistive (AMR) sensors, and introduces a method for verifying the results. A well-known cross-correlation method of magnetic signatures is not appropriate for calculating the vehicle speed of long vehicles owing to limited resources and a long calculation time. Therefore, the adaptive signature cropping algorithm was developed and used with a difference quotient of a magnetic signature. An additional piezoelectric polyvinylidene fluoride (PVDF) sensor and video camera provide ground truth to evaluate the performances. The prototype system was installed on the urban road and tested under various traffic and weather conditions. The accuracy of results was evaluated by calculating the mean absolute percentage error (MAPE) for different methods and vehicle speed groups. The experimental result with a self-obtained data set of 600 unique entities shows that the average speed MAPE error of our proposed method is lower than 3% for vehicle speed in a range between 40 and 100 km/h.

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Traffic Flow Detection Using Distributed Fiber Optic Acoustic Sensing

Cited by 69 publications

References 14 publications

A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

Evaluating Seismic Beamforming Capabilities of Distributed Acoustic Sensing Arrays

Analysis of Methods for Long Vehicles Speed Estimation Using Anisotropic Magneto-Resistive (AMR) Sensors and Reference Piezoelectric Sensor

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