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Fiber-Optical-Sensor-Based Technologies for Future Smart-Road-Based Transportation Infrastructure Applications
by
Braunfelds, Janis
, Merijs-Meri, Remo
, Senkans, Ugis
, Haritonovs, Viktors
, Porins, Jurgis
, Silkans, Nauris
, Lima, Mayara Sarisariyama Siverio
, Bobrovs, Vjaceslavs
, Skels, Peteris
, Spolitis, Sandis
in
Artificial intelligence
/ Asphalt pavements
/ Bragg gratings
/ Composite materials
/ Concrete
/ Deformation
/ Digital twins
/ distributed optical sensors
/ Electromagnetic interference
/ Fiber Bragg Grating (FBG) sensors
/ Fiber optics
/ fiber-optical sensors (FOSs)
/ future smart road infrastructure
/ Harsh environments
/ Infrastructure
/ Internet of Things
/ Machine learning
/ Metal fatigue
/ Monitoring systems
/ Optical measuring instruments
/ Physical properties
/ Real time
/ road infrastructure monitoring
/ Road transportation
/ Roads & highways
/ Sensors
/ Smart roads
/ Strain gauges
/ Structural health monitoring
/ Temperature
/ Transportation systems
/ Weighing in motion
2026
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Fiber-Optical-Sensor-Based Technologies for Future Smart-Road-Based Transportation Infrastructure Applications
by
Braunfelds, Janis
, Merijs-Meri, Remo
, Senkans, Ugis
, Haritonovs, Viktors
, Porins, Jurgis
, Silkans, Nauris
, Lima, Mayara Sarisariyama Siverio
, Bobrovs, Vjaceslavs
, Skels, Peteris
, Spolitis, Sandis
in
Artificial intelligence
/ Asphalt pavements
/ Bragg gratings
/ Composite materials
/ Concrete
/ Deformation
/ Digital twins
/ distributed optical sensors
/ Electromagnetic interference
/ Fiber Bragg Grating (FBG) sensors
/ Fiber optics
/ fiber-optical sensors (FOSs)
/ future smart road infrastructure
/ Harsh environments
/ Infrastructure
/ Internet of Things
/ Machine learning
/ Metal fatigue
/ Monitoring systems
/ Optical measuring instruments
/ Physical properties
/ Real time
/ road infrastructure monitoring
/ Road transportation
/ Roads & highways
/ Sensors
/ Smart roads
/ Strain gauges
/ Structural health monitoring
/ Temperature
/ Transportation systems
/ Weighing in motion
2026
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Do you wish to request the book?
Fiber-Optical-Sensor-Based Technologies for Future Smart-Road-Based Transportation Infrastructure Applications
by
Braunfelds, Janis
, Merijs-Meri, Remo
, Senkans, Ugis
, Haritonovs, Viktors
, Porins, Jurgis
, Silkans, Nauris
, Lima, Mayara Sarisariyama Siverio
, Bobrovs, Vjaceslavs
, Skels, Peteris
, Spolitis, Sandis
in
Artificial intelligence
/ Asphalt pavements
/ Bragg gratings
/ Composite materials
/ Concrete
/ Deformation
/ Digital twins
/ distributed optical sensors
/ Electromagnetic interference
/ Fiber Bragg Grating (FBG) sensors
/ Fiber optics
/ fiber-optical sensors (FOSs)
/ future smart road infrastructure
/ Harsh environments
/ Infrastructure
/ Internet of Things
/ Machine learning
/ Metal fatigue
/ Monitoring systems
/ Optical measuring instruments
/ Physical properties
/ Real time
/ road infrastructure monitoring
/ Road transportation
/ Roads & highways
/ Sensors
/ Smart roads
/ Strain gauges
/ Structural health monitoring
/ Temperature
/ Transportation systems
/ Weighing in motion
2026
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Fiber-Optical-Sensor-Based Technologies for Future Smart-Road-Based Transportation Infrastructure Applications
Journal Article
Fiber-Optical-Sensor-Based Technologies for Future Smart-Road-Based Transportation Infrastructure Applications
2026
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Overview
The rapid evolution of smart transportation systems necessitates the integration of advanced sensing technologies capable of supporting the real-time, reliable, and cost-effective monitoring of road infrastructure. Fiber-optic sensor (FOS) technologies, given their high sensitivity, immunity to electromagnetic interference, and suitability for harsh environments, have emerged as promising tools for enabling intelligent transportation infrastructure. This review critically examines the current landscape of classical mechanical and electrical sensor realization in monitoring solutions. Focus is also given to fiber-optic-sensor-based solutions for smart road applications, encompassing both well-established techniques such as Fiber Bragg Grating (FBG) sensors and distributed sensing systems, as well as emerging hybrid sensor networks. The article examines the most topical physical parameters that can be measured by FOSs in road infrastructure monitoring to support traffic monitoring, structural health assessment, weigh-in-motion (WIM) system development, pavement condition evaluation, and vehicle classification. In addition, strategies for FOS integration with digital twins, machine learning, artificial intelligence, quantum sensing, and Internet of Things (IoT) platforms are analyzed to highlight their potential for data-driven infrastructure management. Limitations related to deployment, scalability, long-term reliability, and standardization are also discussed. The review concludes by identifying key technological gaps and proposing future research directions to accelerate the adoption of FOS technologies in next-generation road transportation systems.
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