Using Pavement Management System Concepts to Determine the Cost and Impact of Utility Trenching on an Urban Road Network

Author(s):  
Stephen Q.S. Lee ◽  
Katherine A. Lauter

The results are presented from a 2-year study on the impact of utility trenching on urban flexible road network pavement roughness, pavement surface distress, structural carrying capacity, pavement life cycle, rehabilitation and maintenance requirements, and the costs associated with these impacts in Ottawa-Carleton, Canada. Included are the pavement performance and life-cycle relationships developed using modified methodologies to address concerns raised by reviews carried out by Construction Technology Laboratories Inc. and the National Research Council of Canada on utility trenching studies to date. In this study, normalized individual pavement section life cycle, a composite pavement quality indicator, and performance prediction models calibrated with numerous years of field data were used in the life-cycle and pavement performance determination. These modifications made to the conventional pavement management system when used to determine the impact of utility trenching are shown to provide performance and life-cycle relationships with better correlation than algorithms used in the previous studies. In this study, very high coefficients of determination ( R2) of 0.79 to 0.85 were obtained for the pavement performance and life-cycle relationships regressed from field data for quantification of urban road network pavement with and without the impact of utility trenching. The factors and costs associated with the impact of utility trenching, such as reduction in pavement life cycle, additional cost for subgrade base repair, pavement strengthening requirements from loss of fatigue structural carrying capacity, and the additional area affected beyond the trenched area, are also quantified in this study.

Author(s):  
Steve F. Shober ◽  
David A. Friedrichs

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.


2019 ◽  
Vol 25 (8) ◽  
pp. 798-804
Author(s):  
Kornel Almassy ◽  
Gábor Pusztai ◽  
László Gáspár ◽  
János Lógó

A modern Pavement Management System (PMS) should be essential for maintenance a metropolitan urban road network. Municipality of Budapest has developed own management system for their road pavement operation. To an efficient outcome the newest methods are used for the data collecting with the most innovated geo-informatics solutions, which are help us in our multi criteria decision making process. We present a degradation model which useful for the prediction of the roughness, yielding surface condition of the pavement in the future. After the whole data evaluation we give accurate information about the general characterization of the permanent road network conditions. Our paper shows that in all modern asset management system based on multi criteria decision making processes, which contain single or multi objective optimization methods. The PMS based on the available-technical and financial data and its optimization process provides a pavement renovation offer for each road in Budapest transportation network and finally the paper presents how can we ranking the invention list from our optimization process.


2021 ◽  
Author(s):  
Muzaffar Hassan

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.


2021 ◽  
Author(s):  
Muzaffar Hassan

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.


Author(s):  
Michael J. Baker ◽  
Joe P. Mahoney ◽  
Nadarajah “Siva” Sivaneswaran

Previous investigation into the Washington State Department of Transportation’s (WSDOT) Pavement Management System (WSPMS) revealed pavement sections on the state route system that were outperforming or underperforming other pavement sections constructed of similar materials and subjected to similar traffic and environmental conditions. Reasons were not clear. The WSPMS was used to identify superior and inferior candidate pavements for further investigation. All state route pavements were stratified into 18 distinct analysis groups, and population statistics were generated for each group providing WSDOT with a snapshot of the current “state of the state route system” and providing the basis for selecting candidate pavements. The five performance measures considered included: age of the surface course, a distress-based pavement structural condition score, annual design-lane equivalent single axle loads, roughness (in terms of International Roughness Index), and rutting. Results of the analysis suggest that WSDOT is properly designing layer thicknesses at appropriate reliability levels. Also, in 6 of 10 analysis group comparisons, inferior pavements were actually thicker than superior pavements. Both findings suggest that thickness design factors are not the primary cause of inferior performance in Washington State; construction, material and site specific factors are likely the cause. Additionally, in an international effort to exchange information on pavement performance and construction practices, highlights of a comparative study of pavement performance with South Africa’s Gauteng Department of Transportation are presented.


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