Design of Vehicle Weigh-in-Motion System Based on Neural Network

Cheng Cheng

doi:10.4028/www.scientific.net/AMR.459.557

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 459Design of Vehicle Weigh-in-Motion System Based on...

Design of Vehicle Weigh-in-Motion System Based on Neural Network

Abstract:

In order to improve the dynamical respond of the weighing sensor and to meet the demand of rapid weigh-in-motion(WIM), a new adaptive weighing system is introduced. The system consists of sensors, data processing module, control module and interface circuit. For restraining the influence of vehicle speed and vehicle liberation, the system adopts self-adaptive variable step size LMS algorithm based on neural network to filter out the noise of WIM signal. Based on this method of signal processing, a vehicle WIM system based on neural network self adaptive filtering was designed. The experimental results proved that the neural network based method can be used to reduce the weighing time and increase the accuracy simultaneously.

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Periodical:

Advanced Materials Research (Volume 459)

Pages:

557-560

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.459.557

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Online since:

January 2012

Authors:

Cheng Cheng

Keywords:

Adaptive Filtering, ARM, Neural Network (NN), Signal Processing, Weigh-in-Motion

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