scholarly journals Flexible Pavement Performance Evaluation in Ontario: an Overview

2021 ◽  
Author(s):  
Muzaffar Hassan
Keyword(s):  
Management System ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Ride Quality ◽  
Physical Parameters ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Verification Techniques

Measuring pavement performance is a major component of the pavement management system. It assists in decision-making for finding the optimum strategies to provide, evaluate, and maintain serviceability in an acceptable condition cost effectively. The Ontario Ministry of Transportation (MTO) has been systematically rating pavement performance since the mid-1960s. Pavement condition survey involves measurement of two physical parameters: ride quality of pavement surfaces, and the extent and severity of pavement distress manifestations. The pavement ride quality can be measured with an acceptable level of consistency and repeatability through automation. However, achieving consistency in the evaluation of pavement distress manifestations is a challenging task because the automation that could accurately and consistently detect, quantify and record surface distresses is not fully developed is spite of rapid advances in video imagery and non-contact sensing devices. This report evaluates the progress made over the past three decades in the key areas of Distress Manifestation Index, Riding Comfort Rating, Pavement Condition Index and second generation Pavement Management System (PMS2). A review of the Ministryʼs network-level pavement performance database is presented, emphasizing pavement condition surveys, prediction models and main factors influencing assessment of long-term pavement performance. Several key issues related to the quality control and quality assurance of the pavement roughness are discussed with reference to the verification techniques used by the MTO. Based on the literature review, future recommendations for possible improvements of the prediction models and techniques used for the evaluation of pavement performance are presented in order to obtain more consistent values.

scholarly journals Flexible Pavement Performance Evaluation in Ontario: an Overview

2021 ◽  
Author(s):  
Muzaffar Hassan
Keyword(s):  
Management System ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Ride Quality ◽  
Physical Parameters ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Verification Techniques

Measuring pavement performance is a major component of the pavement management system. It assists in decision-making for finding the optimum strategies to provide, evaluate, and maintain serviceability in an acceptable condition cost effectively. The Ontario Ministry of Transportation (MTO) has been systematically rating pavement performance since the mid-1960s. Pavement condition survey involves measurement of two physical parameters: ride quality of pavement surfaces, and the extent and severity of pavement distress manifestations. The pavement ride quality can be measured with an acceptable level of consistency and repeatability through automation. However, achieving consistency in the evaluation of pavement distress manifestations is a challenging task because the automation that could accurately and consistently detect, quantify and record surface distresses is not fully developed is spite of rapid advances in video imagery and non-contact sensing devices. This report evaluates the progress made over the past three decades in the key areas of Distress Manifestation Index, Riding Comfort Rating, Pavement Condition Index and second generation Pavement Management System (PMS2). A review of the Ministryʼs network-level pavement performance database is presented, emphasizing pavement condition surveys, prediction models and main factors influencing assessment of long-term pavement performance. Several key issues related to the quality control and quality assurance of the pavement roughness are discussed with reference to the verification techniques used by the MTO. Based on the literature review, future recommendations for possible improvements of the prediction models and techniques used for the evaluation of pavement performance are presented in order to obtain more consistent values.

scholarly journals Proposal and Implementation of a Heliport Pavement Management System: Technical and Economic Comparison of Maintenance Strategies

2021 ◽  
Vol 13 (16) ◽  
pp. 9201 ◽  
Author(s):  
Paola Di Mascio ◽  
Alessio Antonini ◽  
Piero Narciso ◽  
Antonio Greto ◽  
Marco Cipriani ◽  
...  
Keyword(s):  
Management System ◽  
Condition Index ◽  
Pavement Management ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Airport Pavement ◽  
Maintenance And Rehabilitation ◽  
Pavement Condition Index ◽  
Rotary Wing ◽  
Economic Comparison

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.

Application of Network-Level Pavement Management System Technology to a Unique Pavement Deterioration Problem

1996 ◽  
Vol 1524 (1) ◽  
pp. 67-75
Author(s):  
K. Helali ◽  
T.J. Kazmierowski ◽  
A. Bradbury ◽  
M. A. Karan
Keyword(s):  
Management System ◽  
Steel Slag ◽  
Cost Effective ◽  
Pavement Management ◽  
Pavement Management System ◽  
Unique Problem ◽  
Pavement Condition ◽  
Greater Toronto Area ◽  
Condition Evaluation ◽  
Rehabilitation Needs

A study is described that was conducted in response to the premature deterioration of dense friction course/open friction course (DFC/OFC) hot mix surfaces with steel slag aggregates in the greater Toronto area. The deterioration manifested itself in the form of severe raveling and early formation of map cracking. A network-level pavement management system (PMS) was applied to this unique problem. A pavement condition evaluation was conducted, and a steel slag DFC/OFC-specific deterioration model was developed. The application of the PMS has been efficient. It facilitated estimating the rehabilitation needs, prioritizing the rehabilitation strategies, and demonstrating the most cost-effective budget.

Pavement Preservation Strategy

1998 ◽  
Vol 1643 (1) ◽  
pp. 44-53
Author(s):  
Steve F. Shober ◽  
David A. Friedrichs
Keyword(s):  
Management System ◽  
Pavement Management ◽  
Pavement Performance ◽  
Quality Service ◽  
Pavement Management System ◽  
Raw Data ◽  
Pavement Preservation ◽  
Root Cause ◽  
Treatment Alternatives ◽  
User Comfort

An effective pavement management system requires a comprehensive pavement preservation strategy (PPS). Wisconsin’s PPS is guided by a philosophy whose goal is to optimize pavement performance to provide the highest quality service to the customer per unit of expenditure. The PPS is customer-oriented and views “service” in terms of user comfort, convenience, and safety. The strategy is broad-scoped and considers all pavement management activities, from “do nothing” to reconstruction. Wisconsin’s PPS has program values that are based on solid research that has been field verified. The treatment alternatives recommended for any particular pavement problem address the causes, not the symptoms, of that particular problem—thus, the root cause of the problem is addressed, and funds are not used to treat merely a symptom. Accordingly, the PPS is termed a cause-based instead of a schedule-based strategy (applying treatments on a predetermined schedule), or a “worst first” strategy (treating the worst pavements first). The PPS follows a logical progression through a series of evaluations to convert a set of raw, field-collected data (ride and distress) to, ultimately, a set of recommended actions. The process moves from raw data to an evaluation of the level of the distress. Combinations of distress levels are used to identify specific pavement problems. In turn, these pavement problems are evaluated as a family to generate appropriate, cost-beneficial solutions.

scholarly journals Comparison of Pavement Performance Models for Urban Road Management System

2020 ◽  
Vol 15 (3) ◽  
pp. 111-129
Author(s):  
Igoris Kravcovas ◽  
Audrius Vaitkus ◽  
Rita Kleizienė
Keyword(s):  
Bearing Capacity ◽  
Management System ◽  
Condition Index ◽  
Performance Model ◽  
Pavement Management ◽  
Pavement Performance ◽  
Performance Models ◽  
Climate Conditions ◽  
Pavement Condition ◽  
Pavement Performance Model

The key factors for effective pavement management system (PMS) are timely preservation and rehabilitation activities, which provide benefit in terms of drivers’ safety, comfort, budget and impact on the environment. In order to reasonably plan the preservation and rehabilitation activities, the pavement performance models are used. The pavement performance models are usually based on damage and distress observations of rural roads, and can be applied to forecast the performance of urban roads. However, the adjustment of the parameters related to traffic volume, speed and load, climate conditions, and maintenance has to be made before adding them to PMS for urban roads. The main objective of this study is to identify the performance indicators and to suggest pavement condition establishment methodology of urban roads in Vilnius. To achieve the objective, the distresses (rut depth and cracks), bearing capacity, and international roughness index (IRI) were measured for fifteen urban roads in service within a two-year period. The distresses, rut depth and IRI were collected with the Road Surface Tester (RST) and bearing capacity of pavement structures were measured with a Falling Weight Deflectometer (FWD). The measured distresses were compared to the threshold values identified in the research. According to the measured data, the combined pavement condition indices using two methodologies were determined, as well as a global condition index for each road. The analysed roads were prioritized for maintenance and rehabilitation in respect to these criteria. Based on the research findings, the recommendations for further pavement condition monitoring and pavement performance model implementation to PMS were highlighted.

Optimization Modeling for Enhanced Network-Level Pavement Management System

1996 ◽  
Vol 1524 (1) ◽  
pp. 76-85 ◽  
Author(s):  
John R. Mbwana ◽  
Mark A. Turnquist
Keyword(s):  
New York ◽  
Management System ◽  
Transition Probabilities ◽  
New York State ◽  
Pavement Management ◽  
York State Department ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Condition Modeling ◽  
New Formulation

A new formulation of a network-level pavement management system (PMS) model is described, which includes the identification of specific network links in the optimization. This model uses Markov transition probabilities for pavement condition modeling, as have several previously developed PMS models. The incorporation of specific links into the model, however, allows much easier translation of network-level policies to project-level decisions than has been possible. This formulation also allows the easy incorporation of user costs as well as agency costs and can include a variety of specific constraints on the solution. A case study application to Nassau County, New York, illustrates the use of the model and allows a comparison of the model solution with current maintenance practices in the New York State Department of Transportation.

Development of Adaptive Performance Models for Oklahoma Airfield Pavement Management System

2003 ◽  
Vol 1853 (1) ◽  
pp. 44-54 ◽  
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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