Detection of Moving Load on Pavement Using Piezoelectric Sensors

Zhang, Xiang; Huang, Kangxu; Zhang, He; Zhang, Yangyang; Zhang, Yinnan; Zhou, Yuhui

doi:10.3390/s20082366

“…The metrological properties of various load sensors (capacitive, piezoelectric, fiber optic, strain gauges, quartz, etc.) used in WIM systems are presented in detail in the papers [ 28 , 29 , 30 , 31 , 32 ]. In Figure 1 a, a standard deviation of measurement results obtained from an exemplary MS-WIM system equipped with 16 piezoelectric load sensors is presented.…”

Section: Resultsmentioning

confidence: 99%

Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems

Gajda

¹

,

Sroka

²

,

Burnos

³

2020

Sensors

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In this paper, we present the results of a comparison of two estimators of the gross vehicle weight (GVW) and the static load of individual axles of vehicles. The estimators were used to process measurement data derived from Multi-Sensor Weigh-In-Motion systems (MS-WIM). The term estimator is understood as an algorithm according to which the dynamic axle load measurement results are processed in order to determine the static load. The result obtained is called static load estimate. As a measure of measurement uncertainty, we adopted the standard deviation of the static load estimate. The mean value and the maximum likelihood estimators were compared. Studies were conducted using simulation methods based on synthetic data and experimental data obtained from a WIM system equipped with 16 lines of polymer axle load sensors. We have shown a substantially lower uncertainty of estimates determined using the maximum likelihood estimator. The results obtained have considerable practical significance, particularly during long-term usage of multi-sensor WIM systems.

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“…Liu et al [57] reported an exploratory study that suggests the potential use of conductive asphalt materials for self-sensing applications, because the different stages of damage evolution correspond to certain change patterns in their electrical resistivity. Xiang et al [58] reported the use of piezoelectric sensors to detect moving traffic loads on pavement, i.e., for weigh-in-motion application. Anti-icing pavements are often not designed for CI applications, but they can contribute to the mobility of surface transportation system during snowy weather.…”

Section: Self-sensing and Anti-icing Pavementsmentioning

confidence: 99%

More than smart pavements: connected infrastructure paves the way for enhanced winter safety and mobility on highways

Shi

¹

2020

J Infrastruct Preserv Resil

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Currently, there is an urgent demand for more cost-effective, resource-efficient and reliable solutions to address safety and mobility challenges on highways enduring snowy winter weather. To address this pressing issue, this commentary proposes that the physical and digital infrastructures should be upgraded to take advantage of emerging technologies and facilitate the vehicle-infrastructure integration (VII), to better inform decision-makers at various levels. Driven by the paradigm shift towards more automation and more intelligent transportation, it is time to reimagine the vehicle-infrastructure ecosystem with the cold-climate issues in mind, and to enhance communications and coordination among various highway users and stakeholders. This commentary envisages the deployment of vehicle-to-everything (V2X) technologies to bring about transformative changes and substantial benefits in terms of enhanced winter safety and mobility on highways. At the center of the commentary is a conceptualized design of next-generation highways in cold climates, including the existing infrastructure entities that are appropriate for possible upgrade to connected infrastructure (CI) applications, to leverage the immensely expanded data availability fueled by better spatial and temporal coverage. The commentary also advances the idea that CI solutions can augment the sensing capabilities and confidence level of connected or autonomous vehicles. The application scenarios of VII system is then briefly explored, followed by some discussion of the paradigm shift towards V2X applications and a look to the future including some identified research needs in the arena of CI. This work aims to inspire dialogues and synergistic collaborations among various stakeholders of the VII revolution, because the specific challenges call for systematic, holistic, and multidisciplinary approaches accompanied by concerted efforts in the research, development, pilot testing, and deployment of CI technologies.

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“…Liu et al [2014] reported an exploratory study that suggests the potential use of conductive asphalt materials for self-sensing applications, because the different stages of damage evolution corresponded to certain change patterns in their electrical resistivity. Xiang et al [2020] reported the use of piezoelectric sensors to detect moving tra c loads on pavement, i.e., for the weigh-in-motion application.…”

Section: Ict Capabilitiesmentioning

confidence: 99%

More Than Smart Pavements: Connected Infrastructure Paves the Way for Enhanced Winter Safety and Mobility on Highways

Shi¹

2020

Preprint

1

0

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Currently, there is an urgent demand for more cost-effective, resource-efficient and reliable solutions to address safety and mobility challenges on highways enduring snowy winter weather. To address this pressing issue, this commentary proposes that the physical and digital infrastructures should be upgraded to take advantage of emerging technologies and facilitate the vehicle-infrastructure integration (VII), to better inform decision-makers at various levels. Driven by the paradigm shift towards more automation and more intelligent transportation, it is time to reimagine the vehicle-infrastructure ecosystem with the cold-climate issues in mind, and to enhance communications and coordination among various highway users and stakeholders. This commentary envisages the deployment of vehicle-to-everything (V2X) technologies to bring about transformative changes and substantial benefits in terms of enhanced winter safety and mobility on highways. At the center of the commentary is a conceptualized design of next-generation highways in cold climates, including the existing infrastructure entities that are appropriate for possible upgrade to connected infrastructure (CI) applications, to leverage the immensely expanded data availability fueled by better spatial and temporal coverage. The commentary also advances the idea that CI solutions can augment the sensing capabilities and confidence level of connected or autonomous vehicles. The application scenarios of VII system is then briefly explored, followed by some discussion of the paradigm shift towards V2X applications and a look to the future including some identified research needs in the arena of CI. This work aims to inspire dialogues and synergistic collaborations among various stakeholders of the VII revolution, because the specific challenges call for systematic, holistic, and multidisciplinary approaches accompanied by concerted efforts in the research, development, pilot testing, and deployment of CI technologies.

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Detection of Moving Load on Pavement Using Piezoelectric Sensors

Cited by 32 publications

References 32 publications

Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems

Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems

More than smart pavements: connected infrastructure paves the way for enhanced winter safety and mobility on highways

More Than Smart Pavements: Connected Infrastructure Paves the Way for Enhanced Winter Safety and Mobility on Highways

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