Research on Data Processing for Weight-in-Motion of Vehicles

Author

Guo Lan-Ying ; Liang Bo ; Dong Anguo

Author_Institution

Sch. of Inf. Eng., Chang´an Univ., Xi´an, China

Volume

2

fYear

2009

fDate

11-12 April 2009

Firstpage

454

Lastpage

456

Abstract

A new method based on combination of the empirical mode decomposition (EMD) method with nonlinear curve fitting method is proposed for weight-in-motion of vehicles to improve the precision of weight-in-motion(WIM) due to vibration from dynamic load. The analysis shows the proposed method can effectively reduce the impact of low-frequency load. The feasibility and effective of the proposed method in data processing of weight-in-motion of vehicles is shown by simulation and on-site experiment. The maximal deviation is less than 5% when the vehicle velocity is under 40 km/h.

Keywords

curve fitting; road vehicles; signal sampling; traffic engineering computing; EMD method; WIM data processing; dynamic load; empirical mode decomposition; intelligent transport system; nonlinear curve fitting method; sampling time; vehicle velocity; vehicle weight-in-motion; Automation; Automotive engineering; Axles; Curve fitting; Data processing; Mechatronics; Nonlinear dynamical systems; Signal processing; Vehicle dynamics; Vibration measurement; data processing; inspection; weight-in-motion;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-0-7695-3583-8

Type

conf

DOI

10.1109/ICMTMA.2009.603

Filename

5203470