A statistical deterioration forecasting method using hidden Markov model for infrastructure management

Transportation Research Part B: Methodological

Volumn 46, Issue 4, 2012, Pages 544-561

  Kobayashi, Kiyoshi ^a   Kaito, Kiyoyuki ^b   Lethanh, Nam ^a,c  

^a KYOTO UNIVERSITY   (Japan)

^b OSAKA UNIVERSITY   (Japan)

^c ETH ZURICH   (Switzerland)

Author keywords

Bayesian estimation; Hidden Markov model; Infrastructure management; MCMC; Measurement errors; Selection bias

Indexed keywords

BAYESIAN NETWORKS; BRIDGE DECKS; CHAINS; DETERIORATION; FORECASTING; HIDDEN MARKOV MODELS; INTELLIGENT SYSTEMS; LIFE CYCLE; MARKOV PROCESSES; MEASUREMENT ERRORS; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS;

BAYESIAN ESTIMATIONS; DETERIORATION PREDICTION; INFRASTRUCTURE MANAGEMENTS; LIFE CYCLE COST ANALYSIS; MARKOV CHAIN MONTE CARLO SIMULATION; MARKOV TRANSITION MATRICES; MCMC; SELECTION BIAS;

MONITORING;

BAYESIAN ANALYSIS; COST-BENEFIT ANALYSIS; ERROR ANALYSIS; FORECASTING METHOD; MARKOV CHAIN; NUMERICAL MODEL; ROAD TRANSPORT; STATISTICAL ANALYSIS; TRANSPORTATION INFRASTRUCTURE; TRANSPORTATION SYSTEM;

EID: 84857667112     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2011.11.008     Document Type: Article

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