Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)

Application of BP Neural Networks to Weigh-in-Motion of Vehicles

Authors
Zhifeng Zhou
Corresponding Author
Zhifeng Zhou
Available Online December 2013.
DOI
https://doi.org/10.2991/wiet-13.2013.40How to use a DOI?
Keywords
Weigh-In-Motion; BP neural networks; Dynamic tire force
Abstract
BP neural networks are employed to estimate the static axle weight of moving vehicles. On the basis of analyzing the characteristics of dynamic tire force, the influence of dynamic tire force is briefly introduced on the weighing accuracy. The three-layer BP neural networks are designed to process the axle weight signal. The selection of parameters of neural networks is analyzed. The weighing data of three two-axle trucks are used to train and test the developed neural networks. The results show that the proposed three-layer BP neural networks are effective. The max axle weight error is less than 5.18%.
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Proceedings
AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90786-77-95-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/wiet-13.2013.40How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhifeng Zhou
PY  - 2013/12
DA  - 2013/12
TI  - Application of BP Neural Networks to Weigh-in-Motion of Vehicles
BT  - AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SP  - 170
EP  - 172
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.40
DO  - https://doi.org/10.2991/wiet-13.2013.40
ID  - Zhou2013/12
ER  -