{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/18994"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/18994","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Managing pavement in a busy urban highway network","abstract":"In this dissertation, two dynamic transportation models are formulated and analyzed. When employed in optimal control exercises, these models determine for some metropolitan highway a set of optimal transportation policies, specifically relating to the problem of pavement management. The first model characterizes over some medium-range planning horizon changes in peak-period traffic volumes, pavement conditions, vehicle miles traveled, and volatile organic compounds emissions. When used in optimal control exercises, this model determines the sequence and timing of maintenance, lane expansion, and transportation demand management measures which will achieve desired peak-period traffic levels, reduce VMTs and VOC emissions to levels mandated by the Clean Air Act amendments, and maintain pavement conditions at acceptable design standards. The second model determines for some medium-range planning horizon, the sequence and timing of highway reconstruction, given some predetermined program of maintenance expenditures, lane expansion, and transportation demand management measures, that minimizes agency costs and system travel times. Numerical simulations of both models are performed, and for the latter, a sensitivity analysis conducted.","abstract_html":"In this dissertation, two dynamic transportation models are formulated and analyzed. When employed in optimal control exercises, these models determine for some metropolitan highway a set of optimal transportation policies, specifically relating to the problem of pavement management. The first model characterizes over some medium-range planning horizon changes in peak-period traffic volumes, pavement conditions, vehicle miles traveled, and volatile organic compounds emissions. When used in optimal control exercises, this model determines the sequence and timing of maintenance, lane expansion, and transportation demand management measures which will achieve desired peak-period traffic levels, reduce VMTs and VOC emissions to levels mandated by the Clean Air Act amendments, and maintain pavement conditions at acceptable design standards. The second model determines for some medium-range planning horizon, the sequence and timing of highway reconstruction, given some predetermined program of maintenance expenditures, lane expansion, and transportation demand management measures, that minimizes agency costs and system travel times. Numerical simulations of both models are performed, and for the latter, a sensitivity analysis conducted.","abstract_has_math":false,"creators":["Schintler, Laurie A."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Urban and Regional Planning","degree_department":null,"school":null,"contributors":["Donaghy, Kieran P."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T11:53:46Z","date_published":"2011-05-07T11:53:46Z","updated_at":"2026-07-22T22:25:12Z","subjects":["Engineering, Civil","Transportation","Urban and Regional Planning"],"languages":["eng"],"rights":["Copyright 1996 Schintler, Laurie A."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9780591200270","AAI9712430","(UMI)AAI9712430"],"render_values":[{"text":"9780591200270","href":null,"code":true},{"text":"AAI9712430","href":null,"code":true},{"text":"(UMI)AAI9712430","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/18994","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Donaghy, Kieran P."]},{"key":"dc:creator","label":"Author","values":["Schintler, Laurie A."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T11:53:46Z","10000-01-01","1996"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Urban and Regional Planning"]},{"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","Transportation","Urban and Regional Planning"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1996 Schintler, Laurie A."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9780591200270","AAI9712430","(UMI)AAI9712430","http://hdl.handle.net/2142/18994"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["In this dissertation, two dynamic transportation models are formulated and analyzed. When employed in optimal control exercises, these models determine for some metropolitan highway a set of optimal transportation policies, specifically relating to the problem of pavement management. The first model characterizes over some medium-range planning horizon changes in peak-period traffic volumes, pavement conditions, vehicle miles traveled, and volatile organic compounds emissions. When used in optimal control exercises, this model determines the sequence and timing of maintenance, lane expansion, and transportation demand management measures which will achieve desired peak-period traffic levels, reduce VMTs and VOC emissions to levels mandated by the Clean Air Act amendments, and maintain pavement conditions at acceptable design standards. The second model determines for some medium-range planning horizon, the sequence and timing of highway reconstruction, given some predetermined program of maintenance expenditures, lane expansion, and transportation demand management measures, that minimizes agency costs and system travel times. Numerical simulations of both models are performed, and for the latter, a sensitivity analysis conducted.","Made available in DSpace on 2011-05-07T11:53:46Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9712430.pdf: 3736552 bytes, checksum: 8a0f5b3a598af3715195883be495742a (MD5) Previous issue date: 1996","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:33:56Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:12:46-05:00 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":["Managing pavement in a busy urban highway network"]}]}],"canonical_facts":{"dc:contributor":["Donaghy, Kieran P."],"dc:creator":["Schintler, Laurie A."],"dc:date":["2011-05-07T11:53:46Z","10000-01-01","1996"],"dc:description":["In this dissertation, two dynamic transportation models are formulated and analyzed. When employed in optimal control exercises, these models determine for some metropolitan highway a set of optimal transportation policies, specifically relating to the problem of pavement management. The first model characterizes over some medium-range planning horizon changes in peak-period traffic volumes, pavement conditions, vehicle miles traveled, and volatile organic compounds emissions. When used in optimal control exercises, this model determines the sequence and timing of maintenance, lane expansion, and transportation demand management measures which will achieve desired peak-period traffic levels, reduce VMTs and VOC emissions to levels mandated by the Clean Air Act amendments, and maintain pavement conditions at acceptable design standards. The second model determines for some medium-range planning horizon, the sequence and timing of highway reconstruction, given some predetermined program of maintenance expenditures, lane expansion, and transportation demand management measures, that minimizes agency costs and system travel times. Numerical simulations of both models are performed, and for the latter, a sensitivity analysis conducted.","Made available in DSpace on 2011-05-07T11:53:46Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9712430.pdf: 3736552 bytes, checksum: 8a0f5b3a598af3715195883be495742a (MD5) Previous issue date: 1996","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:33:56Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:12:46-05:00 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":["9780591200270","AAI9712430","(UMI)AAI9712430","http://hdl.handle.net/2142/18994"],"dc:language":["eng"],"dc:rights":["Copyright 1996 Schintler, Laurie A."],"dc:subject":["Engineering, Civil","Transportation","Urban and Regional Planning"],"dc:title":["Managing pavement in a busy urban highway network"],"dc:type":["text"],"thesis:degree_discipline":["Urban and Regional Planning"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:12Z"}