DocumentCode :
497441
Title :
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
Link To Document :
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