A dynamic optimal model for pavement asset management and PPP projects

Z. Alyami, D. Mizutani, K. Kaito, S. Tighe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pavement performance is evaluated by various performance measures: cracking, rutting, roughness, load bearing capacity, etc. Typically, maintenance and rehabilitation treatments for pavement sections are selected from multiple candidates for the purpose of maintaining or restoring given performance measures. The selection of feasible maintenance and rehabilitation alternatives can be based on a combination of engineering judgement, local experience and agency policies etc. These decisions are commonly incorporated into pavement asset management using decision trees or other systems such as benefit cost ratio or optimizations. However, a given maintenance or a rehabilitation treatment may not improve all performance measures and the deterioration of the performance measures varies; for example, cracking compared to roughness. This paper proposes an optimal maintenance model as empirical decision making model considering multiple performance measures’ deterioration and multiple maintenance and rehabilitation alternatives.

Original languageEnglish
Title of host publicationPavement and Asset Management - Proceedings of the World Conference on Pavement and Asset Management, WCPAM 2017
EditorsMaurizio Crispino
PublisherCRC Press/Balkema
Pages175-182
Number of pages8
ISBN (Print)9780367209896
Publication statusPublished - 2019
EventWorld Conference on Pavement and Asset Management, WCPAM 2017 - Baveno, Italy
Duration: 2017 Jun 122017 Jun 16

Publication series

NamePavement and Asset Management - Proceedings of the World Conference on Pavement and Asset Management, WCPAM 2017

Conference

ConferenceWorld Conference on Pavement and Asset Management, WCPAM 2017
CountryItaly
CityBaveno
Period17/6/1217/6/16

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials

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