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

DOI

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%.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhifeng Zhou
PY  - 2013/12
DA  - 2013/12
TI  - Application of BP Neural Networks to Weigh-in-Motion of Vehicles
BT  - Proceedings of the 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  - 10.2991/wiet-13.2013.40
ID  - Zhou2013/12
ER  -