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Hidden Markov Modeling for Weigh-In Motion Estimation.
| 题名： | Hidden Markov Modeling for Weigh-In Motion Estimation. |
| 作者： | Abercrombie, R. K.; Boone, S. D.; Ferragut, E. M. |
| 关键词： | Axles; Estimating; Markov Processes; Moving Vehicle Weight Measurement; Oscillations; Variability; Vehicles; Weight Indicators |
| 摘要： | This paper describes a hidden Markov model to assist in the weight measurement error that arises from complex vehicle oscillations of a system of discrete masses. Present reduction of oscillations is by a smooth, flat, level approach and constant, slow speed in a straight line. The model uses this inherent variability to assist in determining the true total weight and individual axle weights of a vehicle. The weight distribution dynamics of a generic moving vehicle were simulated. The model estimation converged to within 1% of the true mass for simulated data. The computational demands of this method, while much greater than simple averages, took only seconds to run on a desktop computer. |
| 报告类型： | 科技报告 |
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