Analysis of long-term maintenance decision for asphalt pavement based on analytic hierarchy process and network level optimization decision

Jiuda Huang; Chao Han; Wuju Wei; Chengjun Zhao; Jiuda Huang; Chao Han; Wuju Wei; Chengjun Zhao

doi:10.3934/era.2023299

Electronic Research Archive

2023, Volume 31, Issue 9: 5894-5916. doi: 10.3934/era.2023299

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Analysis of long-term maintenance decision for asphalt pavement based on analytic hierarchy process and network level optimization decision

1.
National Engineering Research Center of Advanced Road Materials, JSTI Group, Nanjing, Jiangsu 210017, China
2.
Nanjing Municipal Bureau of Science and Technology, Nanjing, Jiangsu 210008, China

Received: 17 July 2023 Revised: 21 August 2023 Accepted: 23 August 2023 Published: 30 August 2023

In order to effectively mitigate the deterioration of pavement and roadbed, the need for extensive repairs and costly reconstruction ought to be minimized. Hence, this study introduces a novel approach towards long-term preservation of asphalt pavement, which conducts in-depth research on pavement maintenance decision-making using the decision tree method. The selection of appropriate decision-making indicators is based on their respective significance and the actual maintenance requirements, from which a comprehensive decision model for asphalt pavement maintenance is developed. By employing the Analytic Hierarchy Process (AHP) and a network-level optimization decision-making approach, this study investigates the allocation of maintenance decisions, structural preservation, optimal combinations of maintenance strategies, and fund allocation schemes. The result is the development of a project-level and network-level structural preservation decision optimization method. Furthermore, a decision-making module is designed to accompany this method, facilitating the visualization of comprehensive data and decision-making plans. This module enhances the effectiveness and efficiency of the decision-making process by providing a user-friendly interface and a clear presentation of data-driven insights and decision outcomes. The case study clearly proved the applicability and rationality of the long-term preservation strategy of structures based on intelligent decision-making, which laid the foundation for the sustainable development of pavement maintenance and development.
- asphalt pavements,
- analytic hierarchy process,
- network level optimization decision,
- long-term maintenance,
- highway engineering
Citation: Jiuda Huang, Chao Han, Wuju Wei, Chengjun Zhao. Analysis of long-term maintenance decision for asphalt pavement based on analytic hierarchy process and network level optimization decision[J]. Electronic Research Archive, 2023, 31(9): 5894-5916. doi: 10.3934/era.2023299

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Abstract

In order to effectively mitigate the deterioration of pavement and roadbed, the need for extensive repairs and costly reconstruction ought to be minimized. Hence, this study introduces a novel approach towards long-term preservation of asphalt pavement, which conducts in-depth research on pavement maintenance decision-making using the decision tree method. The selection of appropriate decision-making indicators is based on their respective significance and the actual maintenance requirements, from which a comprehensive decision model for asphalt pavement maintenance is developed. By employing the Analytic Hierarchy Process (AHP) and a network-level optimization decision-making approach, this study investigates the allocation of maintenance decisions, structural preservation, optimal combinations of maintenance strategies, and fund allocation schemes. The result is the development of a project-level and network-level structural preservation decision optimization method. Furthermore, a decision-making module is designed to accompany this method, facilitating the visualization of comprehensive data and decision-making plans. This module enhances the effectiveness and efficiency of the decision-making process by providing a user-friendly interface and a clear presentation of data-driven insights and decision outcomes. The case study clearly proved the applicability and rationality of the long-term preservation strategy of structures based on intelligent decision-making, which laid the foundation for the sustainable development of pavement maintenance and development.

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