Pavement Condition Survey at a Motorway Section in Croatia: Maintenance and Rehabilitation Activities

Maintenance and rehabilitation (M&R) scheduling for airport pavement is supported by the scientific literature, while a specific tool for heliport pavements lacks. A heliport pavement management system (HPMS) allows the infrastructure manager to obtain benefits in technical and economic terms, as well as safety and efficiency, during the analyzed period. Structure and rationale of the APSM could be replicated and simplified to implement a HPMS because movements of rotary-wing aircrafts have less complexity than fixed-wing ones and have lower mechanical effects on the pavement. In this study, an innovative pavement condition index-based HPMS has been proposed and implemented to rigid and flexible surfaces of the airport of Vergiate (province of Varese, Italy), and two twenty-year M&R plans have been developed, where the results from reactive and proactive approaches have been compared to identify the best strategy in terms of costs and pavement level of service. The result obtained shows that although the loads and traffic of rotary-wing aircrafts are limited, the adoption of PMS is also necessary in the heliport environment.

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Particle Swarm Optimization Method for Optimal Prioritization of Pavement Sections for Maintenance and Rehabilitation Activities

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.343.43 ◽

2013 ◽

Vol 343 ◽

pp. 43-49 ◽

Cited By ~ 5

Author(s):

Jia Ruey Chang

Keyword(s):

Particle Swarm Optimization ◽

Standard Deviation ◽

Particle Swarm ◽

Cost Savings ◽

Optimization Method ◽

Alternative Solution ◽

Swarm Optimization ◽

Pavement Condition ◽

Significant Time ◽

Maintenance And Rehabilitation

Optimal prioritization of maintenance and rehabilitation (M&R) activities for pavement sections can enable significant time and cost-savings. In this study, we used the particle swarm optimization (PSO) method to achieve optimal prioritization of 135 pavement sections based on eight pavement condition parameters. The parameters included standard deviation (SD) for smoothness, rutting, deflections, cracking, pothole, bleeding, patching, and shoving. SD for smoothness, rutting, and deflections were inspected using instruments, while cracking, pothole, bleeding, patching, and shoving were surveyed visually. The PSO method was used to quickly calculate the synthetic pavement condition for each pavement section and then obtain the optimal prioritization of pavement sections. With this approach, pavement engineers are able to efficiently perform appropriate and timely M&R activities for pavement sections, according to their priority. This study provides an alternative solution to current approaches for prioritization of pavement sections.

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Incorporating bicycling demand into pavement management systems for convenient bikeway networks

Canadian Journal of Civil Engineering ◽

10.1139/cjce-2019-0111 ◽

2020 ◽

Vol 47 (6) ◽

pp. 759-770

Author(s):

Feras Elsaid ◽

Luis Amador-Jimenez ◽

Ciprian Alecsandru

Keyword(s):

Pavement Management ◽

Management Systems ◽

Pavement Condition ◽

Pavement Management Systems ◽

Strategic Plans ◽

Maintenance And Rehabilitation ◽

The World ◽

Gps Trajectories

Several cities around the world have announced strategies to extend and (or) upgrade their bikeway networks in response to the rapid increase of bicycle users. However, there is a disconnection between these strategies and management systems, often used for the scheduling of maintenance and rehabilitation of roads. Traditional pavement management systems fail to incorporate bicycle pathways considering bicycling demand, along with pavement condition, as a driving element to budget for improvements. More convenient and safer bicycling facilities can encourage more individuals to shift their daily commuting habits to bicycling. In this study, we incorporate bicycling demand into pavement management systems to produce strategic plans for the maintenance and improvement of the bicycle networks. Furthermore, here we employ smartphones to represent bicycling demand using GPS trajectories of bicycles. In addition, goal optimization is applied to schedule interventions and improvements. Two scenarios are investigated with different annual budgets.

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Assessing the Effect of Considering Multiple Data Properties on Detecting Potential Errors in Pavement Condition Data

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2639-05 ◽

2017 ◽

Vol 2639 (1) ◽

pp. 39-45

Author(s):

Salar Zabihi Siabil ◽

Nasir G. Gharaibeh

Keyword(s):

Error Detection ◽

False Negative ◽

Data Set ◽

Pavement Condition ◽

Detection Techniques ◽

Multiple Data ◽

Texas Department ◽

Maintenance And Rehabilitation ◽

Current Error

The quality of pavement condition data can affect the assessment of current condition, predictions of future condition, and the reliability of maintenance and rehabilitation plans and funding need estimates at the network level. Thus, improving the quality of pavement condition data is an ongoing process for transportation agencies. Detecting potential errors in network-level pavement condition data is a primary step in assessing and enhancing the accuracy of this data. Current error detection techniques tend to focus on analyzing time series trends in pavement condition to identify unexpected changes that may denote data errors. However, there are additional properties of these data that can be used to identify potential errors, including variability within uniform performance families and consistency between multiple performance indicators. This paper assesses the effect of considering those data properties on detecting potential errors in pavement condition data. Three case analyses were defined such that each considered a different combination of these properties to identify likely errors. The analyses were performed on a pavement condition data set representing the Brownwood District roadway network of the Texas Department of Transportation. The results of this investigation indicate that considering such properties in a combined manner can reduce the numbers of false positive errors and false negative errors.

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Development of Adaptive Performance Models for Oklahoma Airfield Pavement Management System

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1853-06 ◽

2003 ◽

Vol 1853 (1) ◽

pp. 44-54 ◽

Cited By ~ 5

Author(s):

Jie Yuan ◽

Michael A. Mooney

Keyword(s):

Management System ◽

Condition Index ◽

Pavement Management ◽

General Aviation ◽

Portland Cement Concrete ◽

Performance Models ◽

Pavement Management System ◽

Pavement Condition ◽

Maintenance And Rehabilitation ◽

The Family

The Oklahoma airfield pavement management system (APMS) is a set of pavement management tools that can assist with pavement condition evaluation, as well as prioritization and scheduling of pavement maintenance and rehabilitation activities. Pavement performance models were developed to support the APMS for more than 70 Oklahoma general aviation airports. The family modeling method based on the pavement condition index was tailored to fit the deterioration characteristics of these airfield pavements. The statistical and engineering significance of seven levels of pavement factors was investigated, and pavement factors that affect pavement deterioration significantly were identified as family variables. Asphalt concrete pavement families were formed by sorting pavement function, distress cause, and pavement thickness, while portland cement concrete pavements were divided into families according to pavement function and climate zone. The family polynomial curves were able to reveal the expected deterioration patterns and are logical in engineering principle. Rooted by an adaptive database, the system accepts expert opinion and automatically integrates effects of major maintenance and rehabilitation activities into modeling. From the up-to-date database, the performance models update forecasts automatically.

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Utility-Based Road Maintenance Prioritization Method Using Pavement Overall Condition Rating

The Baltic Journal of Road and Bridge Engineering ◽

10.7250/bjrbe.2020-15.464 ◽

2020 ◽

Vol 15 (1) ◽

pp. 126-146 ◽

Cited By ~ 1

Author(s):

Saleh Abu Dabous ◽

Ghadeer Al-Khayyat ◽

Sainab Feroz

Keyword(s):

Resource Constraints ◽

Road Maintenance ◽

Service Levels ◽

Pavement Condition ◽

Pavement Maintenance ◽

Condition Rating ◽

Prioritization Method ◽

Maintenance And Rehabilitation ◽

The Given ◽

Utility Approach

Pavement maintenance and rehabilitation are expensive activities and the available budget to manage the existing pavement infrastructure is limited. Managers require a prioritization method to assist them in selecting the most appropriate maintenance options. Maintenance prioritization is necessary to maintain pavement sections at acceptable service levels within the given budget and resource constraints. In this paper, a utility approach is proposed for maintenance prioritization purposes based on the condition assessment results of the pavement sections. A pavement network of five sections is considered in this study, and a numerical example is illustrated considering one section to show the implementation of the utility approach for section ranking. The overall assessment of various pavement sections was provided by the inspector as degrees of belief in seven assessment grades, which are: A (Good), B (Satisfactory), C (Fair), D (Poor), E (Very poor), and F (Serious). The assessment of pavement condition and the estimated grade utilities are used to calculate maximum, minimum, and average utilities for each of the five pavement sections. Based on the results, the pavement sections are ranked for maintenance and rehabilitation actions.

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Investigating Pavement Maintenance and Rehabilitation Requirement Based on Material Types and Traffic Levels through an Application of Probabilistic Approach for Ontario Highways

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198119852355 ◽

2019 ◽

Vol 2673 (11) ◽

pp. 561-572

Author(s):

Gulfam Jannat ◽

Susan L. Tighe

Keyword(s):

Probabilistic Approach ◽

Condition Index ◽

Probability Of Failure ◽

Pavement Management ◽

Deterministic Approach ◽

Pavement Management System ◽

Pavement Condition ◽

Pavement Maintenance ◽

Maintenance And Rehabilitation ◽

Pavement Condition Index

In a pavement management system (PMS), time to maintenance is generally estimated based on the predicted condition of the pavement. Usually a deterministic approach is applied in the PMS to estimate the time to maintenance by following the deterioration equation of the performance index. However, it is necessary to be aware of the probability of failure to investigate whether the estimated time to maintenance by the deterministic approach is reasonably probable. For this reason, a probabilistic approach is applied in this study to estimate the probability of failure over the estimated time to maintenance. In this approach, the probability of failure is estimated from the distribution of the mean time to maintenance by considering both the overall condition of the pavement and individual instances of distress. These mean times to failure or maintenance are calculated from the overall condition of pavement in relation to the pavement condition index (PCI) when the trigger value becomes 65 or less. A pavement may be expected to fail, however, because of any specific distress before it reaches the PCI trigger value for maintenance. For this reason, the probability of failure of each specific distress is also investigated by using a Monte Carlo simulation. It is found that the survival probability up to the fifth year is approximately 80% to 90% for each category of traffic and material type based on the overall condition, and the probability of failure for individual distress is very low over the performance cycle.

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Rutting Model for HMA Overlay Treatment of Composite Pavements

ISRN Civil Engineering ◽

10.1155/2013/176029 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Mohammad Abdullah Nur ◽

Mohammad Jamal Khattak ◽

Mohammad Reza-Ul-Karim Bhuyan

Keyword(s):

Pavement Management ◽

Management Tool ◽

Performance Models ◽

Factors Affecting ◽

Pavement Condition ◽

Pavement Maintenance ◽

Treatment Performance ◽

Maintenance And Rehabilitation ◽

Pavement Service Life ◽

Good Agreement

Timely rehabilitation and preservation of pavement systems are imperative to maximize benefits in terms of driver’s comfort and safety. However, the effectiveness of any treatment largely depends on the time of treatment and triggers governed by treatment performance models. This paper presents the development of rutting model for overlay treatment of composite pavement in the State of Louisiana. Various factors affecting the rutting of overlay treatment were identified. Regression analysis was conducted, and rut prediction model is generated. In order to better predict the pavement service life, the existing condition of the pavement was also utilized through the model. The developed models provided a good agreement between the measured and predicted rut values. It was found that the predictions were significantly improved, when existing pavement condition was incorporated. The resulting rutting model could be used as a good pavement management tool for timely pavement maintenance and rehabilitation actions to maximize LADOTD benefits and driver’s comfort and safety.

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