A Vibration-Based Vehicle Classification System using Distributed Optical Sensing Technology

Zhao, Hongduo; Wu, Difei; Zeng, Mengyuan; Zhong, Sheng

doi:10.1177/0361198118775840

Cited by 38 publications

(13 citation statements)

References 12 publications

(12 reference statements)

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“…Zhao et al develop a novel vibration sensing system for vehicle classification called the distributed optical vibration sensing system (DOVS) [37]. Although the system uses the same features for classification as the paper [36], i.e., the axle count and the spacing between axles, the system achieves high resistance to damage and electromagnetic interference, and the performance is reliable in severe environments.…”

Section: Vibration Sensorsmentioning

confidence: 99%

Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey

Won

2020

IEEE Access

148

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A traffic monitoring system is an integral part of Intelligent Transportation Systems (ITS). It is one of the critical transportation infrastructures that transportation agencies invest a huge amount of money to collect and analyze the traffic data to better utilize the roadway systems, improve the safety of transportation, and establish future transportation plans. With recent advances in MEMS, machine learning, and wireless communication technologies, numerous innovative traffic monitoring systems have been developed. In this article, we present a review of state-of-the-art traffic monitoring systems focusing on the major functionality-vehicle classification. We organize various vehicle classification systems, examine research issues and technical challenges, and discuss hardware/software design, deployment experience, and system performance of the vehicle classification systems. Finally, we discuss a number of critical open problems and future research directions in an aim to provide valuable resources to academia, industry, and government agencies for selecting appropriate technologies for their traffic monitoring applications.

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Section: Vibration Sensorsmentioning

confidence: 99%

Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey

Won

2020

IEEE Access

148

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“…To characterize the change in frequency spectral distribution, integrated frequency is usually used as an index which can be approximately considered as the centroid of the STPS in a given band ( 13 ). The index is calculated by Equation 6:…”

Section: Field Testingmentioning

confidence: 99%

Investigating the Effect of Prestress Force on Cross-Tensioned Concrete Pavement Vibration

Zhao

Zeng

Hui

et al. 2020

Transportation Research Record

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Prestress force loss is crucial to the structural performance of cross-tensioned concrete pavement (CTCP). Severe loss in prestress force will reduce the constricting-cracking capacity of the CTCP, resulting in damage with load and temperature applied. Vibration-based methods are commonly used in prestress force monitoring, but few relative studies are reported into CTCP and the relationship between prestress force and CTCP vibration is still unclear. The purpose of this paper is to investigate the effect of prestress force on CTCP vibration. The vibration characteristics of CTCP subjected to different prestress forces were studied through field testing and finite element (FE) analysis. Impulse load was applied as excitation at the anchorage zone and dynamic responses were measured in the time domain. A signal processing method was employed to obtain short-time power spectral from original vibration signals, which was utilized to extract vibration characteristics in time and frequency. As shown in both the field testing and the FE analysis, the prestress force has a more significant effect on frequency spectral distribution, rather than the dominant frequency. Integrated frequency is proved to be a reliable index for describing frequency spectral distribution and has a good correlation with prestress force, which suggests it can be used to reflect the change in prestress force. Overall, these findings indicate that vibration testing has potential in prestress force monitoring in CTCP, though the practicality of this method requires further demonstration.

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“…Xu et al [ 14 ] applied piezoelectric ceramic (PZT) materials to prepare the cement-based piezoelectric sensor, and established a set of piezoelectric sensor systems consisting of a prepared piezoelectric sensor, an amplifier, a multi-channel data acquisition instrument, and monitoring software. In terms of fiber optic sensors, Zhao et al [ 15 ] developed a vehicle classification prototype system by using the distributed fiber optic vibration sensing technology, and presented a vehicle classification method to obtain the axle pattern, vehicle speed, and frequency domain characteristics of different types of vehicles. Dong et al [ 16 ] deployed fiber grating sensors in airport asphalt pavement for monitoring the pavement dynamic response under aircraft load, and aircraft load deviation position, speed, dynamic response duration and other information were obtained through collecting and analyzing field monitoring data.…”

Section: Introductionmentioning

confidence: 99%

Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System

Yan

Wei

et al. 2021

Sensors

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Traditional road-embedded monitoring systems for traffic monitoring have the disadvantages of a short life, high energy consumption and data redundancy, resulting in insufficient durability and high cost. In order to improve the durability and efficiency of the road-embedded monitoring system, a pavement vibration monitoring system is developed based on the Internet of things (IoT). The system includes multi-acceleration sensing nodes, a gateway, and a cloud platform. The key design principles and technologies of each part of the system are proposed, which provides valuable experience for the application of IoT monitoring technology in road infrastructures. Characterized by low power consumption, distributed computing, and high extensibility properties, the pavement vibration IoT monitoring system can realize the monitoring, transmission, and analysis of pavement vibration signal, and acquires the real-time traffic information. This road-embedded system improves the intellectual capacity of road infrastructure and is conducive to the construction of a new generation of smart roads.

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A Vibration-Based Vehicle Classification System using Distributed Optical Sensing Technology

Cited by 38 publications

References 12 publications

Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey

Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey

Investigating the Effect of Prestress Force on Cross-Tensioned Concrete Pavement Vibration

Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System

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