Spatiotemporal Analysis of Overloaded Vehicles on a Highway Using Weigh-in-Motion Data

Lin, Yongbiao; Wu, Fan; Wang, Rujun; Gu, Suyu; Zhao, Xu

doi:10.1061/jtepbs.0000616

Cited by 3 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The output results of the piezoelectric sensor can be approximated as a linear process in the temperature range of −10 • C to 50 • C. To mitigate the negative effects of temperature, this paper proposes a mathematical model of the piezoelectric ceramic sensor temperature characteristics and compensates the piezoelectric ceramic sensor with a multivariate nonlinear fitting algorithm. The mathematical model of temperature compensation is given by Equation (1).…”

Section: Temperature Compensation Algorithmmentioning

confidence: 99%

“…Vehicle overloading is a problem that seriously affects road traffic safety in China. Its harm to the road surface is mainly reflected in reducing the service life of roads and bridges, bringing negative impacts on road safety and service level [1], increasing road maintenance costs, disrupting the operation order of traffic transportation, and affecting the normal use of roads [2]. Vehicle overloading brings many hazards.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development and Temperature Correction of Piezoelectric Ceramic Sensor for Traffic Weighing-In-Motion

Yang

Yue

Zhao

et al. 2023

Sensors

View full text Add to dashboard Cite

Weighing-In-Motion (WIM) technology is one of the main tools for pavement management. It can accurately describe the traffic situation on the road and minimize overload problems. WIM sensors are the core elements of the WIM system. The excellent basic performance of WIMs sensor and its ability to maintain a stable output under different temperature environments are critical to the entire process of WIM. In this study, a WIM sensor was developed, which adopted a PZT-5H piezoelectric ceramic and integrated a temperature probe into the sensor. The designed WIM sensor has the advantages of having a small size, simple structure, high sensitivity, and low cost. A sine loading test was designed to test the basic performance of the piezoelectric sensor by using amplitude scanning and frequency scanning. The test results indicated that the piezoelectric sensor exhibits a clear linear relationship between input load and output voltage under constant environmental temperature. The linear correlation coefficient R2 of the fitting line is up to 0.999, and the sensitivity is 4.04858 mV/N at a loading frequency of 2 Hz at room temperature. The sensor has good frequency-independent characteristics. However, the temperature has a significant impact on it. Therefore, the output performance of the piezoelectric ceramic sensor is stabilized under different temperature conditions by using a multivariate nonlinear fitting algorithm for temperature compensation. The fitting result R2 is 0.9686, the root mean square error (RMSE) is 0.2497, and temperature correction was achieved. This study has significant implications for the application of piezoelectric ceramic sensors in road WIM systems.

show abstract

Section: Temperature Compensation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%