Application of BP Neural Networks to Weigh-in-Motion of Vehicles
Available Online December 2013.
- https://doi.org/10.2991/wiet-13.2013.40How to use a DOI?
- Weigh-In-Motion; BP neural networks; Dynamic tire force
- 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%.
- 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 -