How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System

Hosseini, Seyed Amirhossein; Smadi, Omar

doi:10.3390/infrastructures6020028

Cited by 41 publications

(27 citation statements)

References 21 publications

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“…It is not easy to identify the existence of various distress indicators. Distress position, scale, severity and mapping is a key a problem (Hosseini & Smadi, 2021). Inspectors walking around the segment of the highway have historically carried out thorough manual checks.…”

Section: Introductionmentioning

confidence: 99%

“…The transportation agencies can determine future budget needs, funding allocations and treatment policy to demonstrate the best possible use of pavement management resources Fixed for local conditions and road condition assessment models cannot be integrated. (Hosseini & Smadi, 2021) The accuracy of prediction models can affect the decision-making process maintenance activities.…”

Section: Introductionmentioning

confidence: 99%

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Defects in Flexible Pavements: A Relationship Assessment of Defects for Low-Cost Pavement Management System

Khahro

Memon

et al. 2022

Preprint

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Pavement maintenance has been a key concern for any pavement management authority. Countries are facing a severe challenge of funds in maintenance schemes, especially in developing countries. The existing pavement maintenance methods are goal-specific and lack integration of various indicators that are significant for any low-cost PMS. Thus, this paper aims to investigate the possible defects which may occur in flexible pavements. It also investigates the relationship between the different defects. A detailed literature review has been done for this research to identify all possible defects in flexible pavements and key features considered in any PMS. A questionnaire was designed to seek the expert’s opinion on the defects and their possible relationships to be considered for a low-cost PMS. The data was collected from 283 experts currently working in pavement management authorities and pavement maintenance schemes. Aggregated Mean Score, Box plotting and Chi-Square test are used to analyze the data. It is concluded that Bumps/Sags (3.17) are one of the major defects reported by the experts in pavements in Pakistan, followed by the fatigue cracks (3.07). Rutting (2.98) and rut depth (2.98) stand at third key defects reported in this study. Depression (2.96), potholes (2.76), longitudinal crack (2.69), edge crack (2.55), roughness (2.51) and deflection (2.50) are also regularly arising defects in pavement maintenance activities in Pakistan. The results are in the acceptance range of the three mentioned validation methods. The correlation test results show that most of the defects in structural, functional, safety and serviceability indicators reject the null hypothesis thus, there is a close relationship between these defects observed in the flexible pavements. In last stage, a PMS model is suggested to assist the road management authorities of developing countries to make low cost decision for effective pavement rehabilitation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Defects in Flexible Pavements: A Relationship Assessment of Defects for Low-Cost Pavement Management System

Khahro

Memon

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The implementation of a pavement management system requires the definition of appropriate maintenance criteria and condition indicators, monitoring of the state of the road pavement, and archiving and processing of data, in order to plan and schedule maintenance interventions [3,4].…”

Section: Introductionmentioning

confidence: 99%

BIM-Based Pavement Management Tool for Scheduling Urban Road Maintenance

et al. 2021

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The latest advancements in road asphalt materials and construction technologies have increased the difficulty for engineers to select the appropriate pavement design solution with consideration of proper timing for maintenance planning. On the other hand, Building Information Modeling (BIM) tools allow practitioners to efficiently store and manage large amounts of data, supporting decision making in road asphalt pavement design and management. The present work focused on the elaboration of a BIM-based maintenance analysis tool for the specific evaluation of several condition indicators and the selection of proper maintenance solutions designed to include alternative materials and advanced recycling technologies. A traditional BIM workflow was integrated with additional user-defined property sets to investigate the need for maintenance at the present date and predict the degradation curve of the condition indicators through the least square interpolation of time series of data. The analysis tool also provided the selection of available pavement alternatives from a library of designed solutions based on their compliance with project-specific constraints (maximum budget, minimum useful life, and availability of secondary raw materials and in-place recycling technologies). The proposed BIM tool aims to be a practical and dynamic way to integrate maintenance planning considerations into road pavement design, encouraging the use of digital tools in the road industry and ultimately supporting a pavement maintenance decision-making process oriented towards a circular economy.

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“…However, due to the lack of maintenance experience, the large scale of maintenance requirements, and the shortage of maintenance funds resources, a comprehensive and scientific decision-making method has not yet been established so far. How to establish efficient and scientific pavement maintenance and management methods, improve operational efficiency, meet high-quality pavement maintenance needs, and meet various transportation needs has become important problems encountered in pavement management [22].…”

Section: Introductionmentioning

confidence: 99%

Optimization Model of Network‐Level Pavement Maintenance Decision considering User Travel Time and Vehicle Fuel Consumption Costs

Chen

Fan

Liu

et al. 2021

Advances in Civil Engineering

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The maintenance management decisions of network-level asphalt pavements have long been a challenge to highway agencies, and a great amount of factors have been involved. In this study, a network-level optimization method was established by integrating the maintenance benefits into the zero-one programming optimization model. An optimized performance evaluation method of asphalt pavement was proposed which contains 11 different kinds of combinations. The benefit model quantifies the cost savings of user travel time and vehicle fuel consumption to the pavement condition index (PCI) and ride quality index (RQI), respectively. Based on the simplified evaluation method as well as the quantified maintenance benefit model, an optimization model was established by employing the zero-one programming. This optimization model aimed to maximize the improvements/price ratio of pavement maintenance for the whole pavement network. The calculation results present the optimal strategies of maintenance for every road section in the network. The applicability of the newly proposed model was validated by a case study. The methodology developed in this study helps to offer guidelines to highway agencies in managing and making decisions about network-level pavement maintenance.

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How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System

Cited by 41 publications

References 21 publications

Defects in Flexible Pavements: A Relationship Assessment of Defects for Low-Cost Pavement Management System

Defects in Flexible Pavements: A Relationship Assessment of Defects for Low-Cost Pavement Management System

BIM-Based Pavement Management Tool for Scheduling Urban Road Maintenance

Optimization Model of Network‐Level Pavement Maintenance Decision considering User Travel Time and Vehicle Fuel Consumption Costs

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