Cargando…

Novel Weigh-in-Motion Pavement Sensor Based on Self-Sensing Nanocomposites for Vehicle Load Identification: Development, Performance Testing, and Validation

The development of the transportation industry has led to an increasing number of overloaded vehicles, which reduces the service life of asphalt pavements. Currently, the traditional vehicle weighing method not only involves heavy equipment but also has a low weighing efficiency. To deal with the de...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liang, Ming, Zhang, Yunfeng, Jiao, Yuepeng, Wang, Jianjiang, Su, Linping, Yao, Zhanyong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221636/ https://www.ncbi.nlm.nih.gov/pubmed/37430671 http://dx.doi.org/10.3390/s23104758

Ejemplares similares

The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems
por: Burnos, Piotr, et al.
Publicado: (2017)

Thermal Property Analysis of Axle Load Sensors for Weighing Vehicles in Weigh-in-Motion System
por: Burnos, Piotr, et al.
Publicado: (2016)

Assessing Vehicle Wandering Effects on the Accuracy of Weigh-in-Motion Measurement Based on In-Pavement Fiber Bragg Sensors through a Hybrid Sensor-Camera System
por: Yang, Xinyi, et al.
Publicado: (2023)

A Weigh-in-Motion Characterization Algorithm for Smart Pavements Based on Conductive Cementitious Materials
por: Birgin, Hasan Borke, et al.
Publicado: (2020)

Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System
por: Qin, Tianhao, et al.
Publicado: (2018)

Research on Weigh-in-Motion Algorithm of Vehicles Based on BSO-BP
por: Xu, Suan, et al.
Publicado: (2022)

Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems
por: Gajda, Janusz, et al.
Publicado: (2020)

Weigh-in-Motion Site for Type Approval of Vehicle Mass Enforcement Systems in Poland
por: Gajda, Janusz, et al.
Publicado: (2023)

Design of a Capacitive Flexible Weighing Sensor for Vehicle WIM System
por: Cheng, Lu, et al.
Publicado: (2007)

Detection of Moving Load on Pavement Using Piezoelectric Sensors
por: Xiang, Tao, et al.
Publicado: (2020)

Smart Graphite–Cement Composite for Roadway-Integrated Weigh-In-Motion Sensing
por: Birgin, Hasan Borke, et al.
Publicado: (2020)

Development and Validation of a Weigh-in-Motion Methodology for Railway Tracks
por: Pintão, Bruno, et al.
Publicado: (2022)

Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System
por: Kim, Sungkon, et al.
Publicado: (2009)

Integrating Pavement Sensing Data for Pavement Condition Evaluation
por: Gkyrtis, Konstantinos, et al.
Publicado: (2021)

Use of Finite Elements Analysis for a Weigh-in-Motion Sensor Design
por: Opitz, Rigobert, et al.
Publicado: (2012)

Development and Temperature Correction of Piezoelectric Ceramic Sensor for Traffic Weighing-In-Motion
por: Yang, Hailu, et al.
Publicado: (2023)

Discrete Element Modeling of the Meso-Mechanical Response of Asphalt Pavement under Vehicle Load
por: Zhang, Dong, et al.
Publicado: (2022)

Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra
por: Rys, Dawid
Publicado: (2019)

Empirical distributions of traffic loads from one year of weigh-in-motion data
por: Iervolino, Iunio, et al.
Publicado: (2023)

Development of a Novel Piezoelectric Sensing System for Pavement Dynamic Load Identification
por: Zhao, Qian, et al.
Publicado: (2019)

Pavement Quality Evaluation Using Connected Vehicle Data
por: Mahlberg, Justin A., et al.
Publicado: (2022)

Assessment of pavement deflection under vehicle loads using a 3D-DIC system in the field
por: Núñez-Temes, Carlos, et al.
Publicado: (2022)

Sensors and Sensing for Intelligent Vehicles
por: Llorca, David Fernández, et al.
Publicado: (2020)

Train Classification Using a Weigh-in-Motion System and Associated Algorithms to Determine Fatigue Loads
por: Zakharenko, Mariia, et al.
Publicado: (2022)

ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation
por: Mei, Alessandro, et al.
Publicado: (2022)

Investigation of the Temperature Compensation of Piezoelectric Weigh-In-Motion Sensors Using a Machine Learning Approach
por: Yang, Hailu, et al.
Publicado: (2022)

Oscillation effect dataset on the measurement accuracy of load-cell sensor applied to the weigh basket
por: Arianti, Nunik Destria, et al.
Publicado: (2021)

High Accuracy Weigh-In-Motion Systems for Direct Enforcement
por: Burnos, Piotr, et al.
Publicado: (2021)

Effect of Pavement Roughness on Arterial Noise Using Different Vehicle Types
por: Al-Masaeid, Hashem R., et al.
Publicado: (2023)

Smart Sensing of Pavement Temperature Based on Low-Cost Sensors and V2I Communications
por: Godoy, Jorge, et al.
Publicado: (2018)

Advanced Pedestrian State Sensing Method for Automated Patrol Vehicle Based on Multi-Sensor Fusion
por: Wang, Pangwei, et al.
Publicado: (2022)

Model Updating Concept Using Bridge Weigh-in-Motion Data
por: Hekič, Doron, et al.
Publicado: (2023)

Classification of Variable Foundation Properties Based on Vehicle–Pavement–Foundation Interaction Dynamics
por: Kim, Robin Eunju
Publicado: (2020)

Optimised Autocalibration Algorithm of Weigh-In-Motion Systems for Direct Mass Enforcement
por: Burnos, Piotr, et al.
Publicado: (2020)

Weigh-in-Motion: Lightweight Real-Time Identification of Gbps Wireless Traffic
por: Kim, Sungsoo, et al.
Publicado: (2022)

Weigh-in-Motion System Based on an Improved Kalman and LSTM-Attention Algorithm
por: Shi, Baidi, et al.
Publicado: (2022)

Temporal–Spatial Distribution of Vehicle Transportation Pavement Dust Migration in an Open-Pit Mine
por: Wei, Dingyi, et al.
Publicado: (2020)

Weigh-In
por: Carter, Marianne
Publicado: (2016)

The weighing
por: Mema, Briseida, et al.
Publicado: (2021)

ePave: A Self-Powered Wireless Sensor for Smart and Autonomous Pavement
por: Xiao, Jian, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_2tru70eg7piapsgf5ja5li65vv