DocumentCode :
3115906
Title :
Local mixture hazard model: A semi-parametric approach to risk management in pavement system
Author :
NAM, Le Thanh ; Obama, Kengo ; Kobayashi, Kiyoshi
Author_Institution :
Dept. of Urban Manage., Kyoto Univ., Kyoto
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2291
Lastpage :
2296
Abstract :
One of the core techniques for the Pavement Management Systems (PMS) is the deterioration hazard model. The hazard models stochastically forecast the deterioration progresses of pavement based on its historical performance indicators over time. This paper introduces a class of hazard models, which consider the heterogeneity factors by a local mixing mechanism. Special attention is paid to the formulation of transition probability of condition state, which is subjected to follow Markov chain. The paper further introduces optimization approach for selecting best repair strategy based on discounted life cycle cost analysis. The application of the model targets to minimize exposing risks to road administrators. The usefulness and practicability of the model are examined through life cycle costs evaluation with real data of Vietnamese highway system.
Keywords :
Markov processes; civil engineering; hazards; life cycle costing; mixing; optimisation; probability; roads; Markov chain; Vietnamese highway system; life cycle cost analysis; local mixing mechanism; local mixture hazard model; optimization approach; pavement management systems; risk management; road administrators; transition probability; Cost function; Hazards; Inspection; Predictive models; Proposals; Risk management; Road transportation; Statistical distributions; Technology management; Toxicology; Markov chain; local mixture hazard model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811634
Filename :
4811634
Link To Document :
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