Application of Markov process to pavement management systems at the network level

A probabilistic network level pavement management system (PMS) has been developed based on the Markov process. The system uses PCI method for pavement condition rating. The pavement performance prediction model has been developed based on the Markov process. Homogeneous and non-homogeneous Markov chains have been used in the model development. The comparison of the results from the Markov prediction model and the constrained least squares model showed similar trends. Dynamic programming has been used to develop the optimal M & R recommendations for each pavement family/state combination. Two prioritization programs have been developed to allocate the constrained budget in an optimal way. The first prioritization program is based of weighted optimal benefit/cost ratios. The second prioritization program is based on the incremental benefit/cost ratio technique.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Butt, Abbas Ahmad

Contributors dc:contributor

• Carpenter, Samuel H.

• Engineering, Civil

Statement dc:rights

• Copyright 1991 Butt, Abbas Ahmad

Language dc:language

eng

Identifier

AAI9210753
(UMI)AAI9210753

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19521