Accession Number DE2013-1048718
Title Hidden Markov Modeling for Weigh-In Motion Estimation.
Publication Date 2013
Media Count 8p
Personal Author E. M. Ferragut R. K. Abercrombie S. D. Boone
Abstract 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.
Keywords Axles
Estimating
Markov processes
Moving vehicle weight measurement
Oscillations
Variability
Vehicles
Weight indicators


 
Source Agency Technical Information Center Oak Ridge Tennessee
NTIS Subject Category 85H - Road Transportation
91B - Transportation & Traffic Planning
43G - Transportation
Corporate Author Oak Ridge National Lab., TN.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1326
Contract Number DE-AC05-00OR22725

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