{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/19521"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/19521","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Application of Markov process to pavement management systems at the network level","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Butt, Abbas Ahmad"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Carpenter, Samuel H."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T12:10:06Z","date_published":"2011-05-07T12:10:06Z","updated_at":"2026-07-22T22:25:14Z","subjects":["Engineering, Civil"],"languages":["eng"],"rights":["Copyright 1991 Butt, Abbas Ahmad"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9210753","(UMI)AAI9210753"],"render_values":[{"text":"AAI9210753","href":null,"code":true},{"text":"(UMI)AAI9210753","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/19521","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Carpenter, Samuel H."]},{"key":"dc:creator","label":"Author","values":["Butt, Abbas Ahmad"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T12:10:06Z","10000-01-01","1991"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Civil"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1991 Butt, Abbas Ahmad"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/19521","AAI9210753","(UMI)AAI9210753"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","The implementation of the developed optimization methods on an existing airfield pavement network revealed that for a given constrained budget scenario: (1) Prioritization using incremental benefit/cost ratio results in a higher network PCI as compared to prioritization using optimal benefit/cost ratio. (2) The prioritization using the incremental benefit/cost ratio program utilizes the available constrained budget to the best of their full limit. (3) To maintain a specified network PCI, the incremental benefit/cost ratio program will spend more money as compared to the optimal benefit/cost ratio program.","Made available in DSpace on 2011-05-07T12:10:06Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9210753.pdf: 8245911 bytes, checksum: acf814120c466660c82eb2c21c409446 (MD5) Previous issue date: 1991","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:37:35Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:15:27-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["Application of Markov process to pavement management systems at the network level"]}]}],"canonical_facts":{"dc:contributor":["Carpenter, Samuel H."],"dc:creator":["Butt, Abbas Ahmad"],"dc:date":["2011-05-07T12:10:06Z","10000-01-01","1991"],"dc:description":["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.","The implementation of the developed optimization methods on an existing airfield pavement network revealed that for a given constrained budget scenario: (1) Prioritization using incremental benefit/cost ratio results in a higher network PCI as compared to prioritization using optimal benefit/cost ratio. (2) The prioritization using the incremental benefit/cost ratio program utilizes the available constrained budget to the best of their full limit. (3) To maintain a specified network PCI, the incremental benefit/cost ratio program will spend more money as compared to the optimal benefit/cost ratio program.","Made available in DSpace on 2011-05-07T12:10:06Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9210753.pdf: 8245911 bytes, checksum: acf814120c466660c82eb2c21c409446 (MD5) Previous issue date: 1991","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:37:35Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:15:27-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"],"dc:identifier":["http://hdl.handle.net/2142/19521","AAI9210753","(UMI)AAI9210753"],"dc:language":["eng"],"dc:rights":["Copyright 1991 Butt, Abbas Ahmad"],"dc:subject":["Engineering, Civil"],"dc:title":["Application of Markov process to pavement management systems at the network level"],"dc:type":["text"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:14Z"}