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This report describes a framework for the selection of pavement preservation treatments which can best utilize an available maintenance budget. it includes formulation of project-specific strategies, evaluation of funding requirements, and setting of priorities. the key component of the framework is an action plan which recommends preferred and fall-back strategies for all individual pavement management sections. the action plan documents the existing pavement condition, integrates all major pavement maintenance and rehabilitation efforts into a unified preservation plan, and coordinates pavement preservation functions of different offices within the ontario ministry of transportation. the optimum allocation of pavement investments is achieved by linear programming. sensitivity analyses evaluate the effect on the linear programming solution of using different optimization goals and different budget constraints. while the objective function used maximizes only technical benefits of pavement investments, it can be modified to include societal benefits as well.
This synthesis will be of interest to highway administrators; pavement management system (PMS), maintenance, and computer engineers; and technologists involved with data collection and computer programming for the purposes of a PMS. This synthesis describes the state of the practice with respect to pavement management methodologies to select projects and recommend preservation treatments. This report of the Transportation Research Board also describes the predominant pavement management methodologies being used by U.S. state and Canadian provincial transportation agencies; provides a general description of each methodology; and summarizes the requirements, benefits, hindrances, and constraints associated with each. It includes a review of domestic literature and a survey of current practices in North America. In addition, case studies are included to illustrate the use of these methodologies within transportation agencies. Operational and soon-to-be implemented technologies are also discussed, and an extensive bibliography is provided for further reference.
A common practice followed to rate the pavement surface condition is to use the ASTM D5340-12 procedure and estimate the pavement condition index (PCI) that helps prioritize maintenance needs and assists developing a pavement management system (PMS). However, ASTM-PCI that is dependent on time-based evaluation may not be suitable where there is a lack of historical records and it is being undertaken for the first time. To estimate a pavement's current PCI during the non-availability of historical data and establish a PMS incorporated with prioritized maintenance and optimized budget, a rational engineering criteria (EC) based methodological approach is required that is as robust as ASTM D5340-12. Thus, the objective of this study was to develop a rational EC-based prioritization-optimization process PMS (POPMS) algorithm for a network that prioritizes maintenance strategies for identified pavement distresses and hence optimizes maintenance costs depending on budgetary allocations. An EC-based POPMS algorithm was based on a network length of 100.55 km, which followed prioritization-optimization process for single to multi-year programs. EC-PCI of pavement sections were estimated on the basis of segmented maintenance strategies including preventive and routine maintenance and reconstruction. EC-PCI was found to be rational since three distinct threshold zones were considered that could directly assign pavement maintenance strategies, which was straightforward and circularly referenced. Overall, POPMS algorithm facilitates practitioners to modify the threshold EC-based parameters that will estimate an optimal single/multiyear budget for maintenance as per the newly set threshold level, thus creating a whole new promising approach in the areas of roadway network level maintenance programs.
An increasing number of highway agencies have found that applying relatively low-cost surface preservation treatments can extend the service life of pavement. The Federal Highway Administration, American Association of State Highway and Transportation Officials, and National Cooperative Highway Research Program sponsored a scanning study of France, South Africa, and Australia to investigate innovative programs for pavement preservation. The U.S. delegation observed that the countries visited are committed to designing and building long-lasting structural pavement sections on their national roadway networks.
The purpose of this study was to prepare guidelines that can be used by state level pavement management engineers to help them perform their work more effectively. One of the key activities covered is how to deal with evolving technologies that affect data collection, storage, and presentation process.
Comprehensive and practical, Pavement Asset Management provides an essential resource for educators, students and those in public agencies and consultancies who are directly responsible for managing road and airport pavements. The book is comprehensive in the integration of activities that go into having safe and cost-effective pavements using the best technologies and management processes available. This is accomplished in seven major parts, and 42 component chapters, ranging from the evolution of pavement management to date requirements to determining needs and priority programming of rehabilitation and maintenance, followed by structural design and economic analysis, implementation of pavement management systems, basic features of working systems and finally by a part on looking ahead. The most current methodologies and practical applications of managing pavements are described in this one-of-a-kind book. Real world up-to-date examples are provided, as well as an extensive list of references for each part.
State Departments of Transportation (DOTs) are trying to utilize the best practices of managing low-volume roads (LVRs) due to limited resources and declined transportation funding. Diverse maintenance practices and fluctuating budget allocations are noticed on LVRs which significantly impact the overall pavement performance. In this study, the optimal scheduling of maintenance strategies and effectiveness of treatment options are investigated. Pavement maintenance decision making is supported by three approaches: subjective judgment of pavement engineers; historical data on past practice (i.e., historical pavement performance plots); and optimization-based procedures. The three approaches are integrated using a pavement management data of Colorado LVRs to provide guidelines and recommendations for Colorado DOT (CDOT) and other transportation agencies. The accumulated field experience of Colorado DOT’s pavement engineers is highlighted through a regional survey of practice. In addition, the effectiveness of low-cost treatments on the individual pavement distresses is evaluated using historical values of pavement condition indices. It was concluded that some surface treatments and recycling techniques are effective long-term treatments for fatigue, longitudinal, and transverse cracking. However, the effectiveness of these treatments depends mainly on the initial condition index. Then, an optimization analysis is conducted using genetic algorithms to provide cost-effective capital improvement plans statewide and for deteriorated LVRs with marginal pavement conditions. The large-scale optimization analysis is limited on LVRs for statewide maintenance planning. In this study, the developed optimization models have the ability to maximize the overall pavement condition of LVRs network considering an annual budget constraint. They can also minimize the maintenance costs to achieve desired performance targets by the end of the analysis period. It was concluded that most CDOT engineering regions do not have sufficient maintenance budgets to sustain the network-level pavement condition of LVRs. The results from optimization analysis provide more realistic solutions to define the budget needs on LVRs. Moreover, an effective decision-making process is achieved for each Colorado DOT’s engineering region using a machine-learning approach. Multiple treatment alternatives are proposed using artificial neural networks with pattern recognition algorithms. It was found that these approaches provide beneficial guidelines for managing LVRs in Colorado and nationwide. As a result of this study, transportation agencies can determine future budget needs, funding allocations, and treatment policies in order to demonstrate the best possible use of pavement management resources on LVRs.
This book was written by academic's and practitioners who have lead the implementation of highway management processes and tools at several major corporations. The contents of this book have been presented in an interesting and enjoyable way, enhanced by real pictures of highway projects and pavement maintenance. This book contains five chapters, the first chapter entitled MAINTENANCE MANAGEMENT: It was to clarify the concept and importance of maintenance and management professionally and smoothly, While the title of the second chapter is the HIGHWAY PROJECTS, and provided a detailed explanation of the management and implementation of highways, while reviewing the types and importance in the construction sector. The third chapter, entitled PAVEMENT DETERIORATION: The researchers reviewed the types of DETERIORATION in the riged and asphalt pavement, and explained the methods of treatment and maintenance necessary for each type. While the fourth chapter was entitled HIGHY WAY MAINTENANCE OPERATIONS: It reviewed the methods of maintenance and importance in highway project, the fifth chapter entitled: PAVEMENT MAINTENANCE MANAGEMENT SYSTEM: This chapter reviewed the most important global strategies in the management of pavement maintenance.