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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 64
Edited by: B.H.V. Topping
Paper I.8

Multiple-Sensor Weigh-in-Motion of Road Vehicles using a Neural Network Algorithm

A. Shamseldin, B.J. Black and E. O'Brien

Department of Civil Engineering, University College, Dublin, Ireland

Full Bibliographic Reference for this paper
A. Shamseldin, B.J. Black, E. O'Brien, "Multiple-Sensor Weigh-in-Motion of Road Vehicles using a Neural Network Algorithm", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 53-58, 2000. doi:10.4203/ccp.64.1.8
This paper describes efforts to improve the accuracy of Weigh-in-Motion systems using multiple sensors. For this study a Neural Network algorithm is used to combine the output from the individual sensors into one improved estimate of static gross vehicle weight. A multilayer feedforward neural network is used. The algorithm is tested using data from a field trial at Trappes in France.

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