TY - GEN
T1 - A dynamic optimal model for pavement asset management and PPP projects
AU - Alyami, Z.
AU - Mizutani, D.
AU - Kaito, K.
AU - Tighe, S.
N1 - Publisher Copyright:
© 2019 Taylor & Francis Group, London.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063632112&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85063632112
SN - 9780367209896
T3 - Pavement and Asset Management - Proceedings of the World Conference on Pavement and Asset Management, WCPAM 2017
SP - 175
EP - 182
BT - Pavement and Asset Management - Proceedings of the World Conference on Pavement and Asset Management, WCPAM 2017
A2 - Crispino, Maurizio
PB - CRC Press/Balkema
T2 - World Conference on Pavement and Asset Management, WCPAM 2017
Y2 - 12 June 2017 through 16 June 2017
ER -