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Author: Shuo Wang Publisher: ISBN: Category : Languages : en Pages : 59
Book Description
Optimal use of pavement maintenance and rehabilitation dollars is essential in a constrained budget environment such as now. A network-level optimization tool, which could generate the best maintenance and rehabilitation strategies for the entire pavement network, has become necessary for many highway agencies. This thesis presents the development and implementation of a network-level optimization tool within a pavement management information system for the Ohio Department of Transportation (ODOT). Future pavement condition is predicted based on historical pavement data using a Markov transition probability model. Such transition probabilities are updated automatically when new condition data become available each year. The network-level optimization tool integrates a linear programming model and the Markov transition probability model. This optimization tool is capable of (1) calculating the minimum budget required to achieve a desired level of pavement network condition, (2) maximizing the improvements of pavement network condition with a given amount of budget, and (3) determining the corresponding optimal treatment policy and budget allocations. It can be used by highway agencies as a decision support tool for network-level pavement management.
Author: Shuo Wang Publisher: ISBN: Category : Languages : en Pages : 59
Book Description
Optimal use of pavement maintenance and rehabilitation dollars is essential in a constrained budget environment such as now. A network-level optimization tool, which could generate the best maintenance and rehabilitation strategies for the entire pavement network, has become necessary for many highway agencies. This thesis presents the development and implementation of a network-level optimization tool within a pavement management information system for the Ohio Department of Transportation (ODOT). Future pavement condition is predicted based on historical pavement data using a Markov transition probability model. Such transition probabilities are updated automatically when new condition data become available each year. The network-level optimization tool integrates a linear programming model and the Markov transition probability model. This optimization tool is capable of (1) calculating the minimum budget required to achieve a desired level of pavement network condition, (2) maximizing the improvements of pavement network condition with a given amount of budget, and (3) determining the corresponding optimal treatment policy and budget allocations. It can be used by highway agencies as a decision support tool for network-level pavement management.
Author: Vahid Zand Publisher: ISBN: Category : Culverts Languages : en Pages : 71
Book Description
Federal Aid and Non Federal Aid roads are the most important assets for every local government. Collecting data, analyzing and proposing a practical and cost-effective work plan has been the goal of local agencies. Implementing pavement management process can help local agencies to make the best decision regarding road investments. In this study, pavement management is comprised of two main parts. At the network level, the macroscopic model is adopted where each decision variables represents a specific proportion of the asset network. For each decision variable, future condition prediction models are developed. An annual budget scenario can be analyzed with the flexibility to vary the treatment unit costs, allowable treatments, treatment average life and the span of the analysis period. At the project level, the microscopic model is implemented to generate a detailed work plan based on the results from network level part. Also culverts are of the crucial parts of transportation assets and their failures can jeopardize the ecosystem and result in accidents. Inspecting and developing a management system can help agencies to better understand the current and future condition. In this thesis for a given budget level, the corresponding performance of the asset network is determined using the linear programming optimization with the objective of average network condition maximization. The optimization model consists of an asset deterioration model. The deterioration rates are predicted based on the historical condition data using the Markov model. Then, the results from linear programming used to provide users with a detailed work plan.
Author: Michel Gendreau Publisher: ISBN: Category : Languages : en Pages : 17
Book Description
To improve the planning mechanisms of highway maintenance and rehabilitation, many agencies have resorted to pavement management systems built as simple optimization models. These models are generally inadequate because they are too inflexible. The core of the proposed system is a general Markov decision process structure in which administrative divisions of the highway network (regions, districts) are explicitly taken into account. This basic structure is stated in an equivalent linear programming format which then allows for the addition to the model of various linear constraints. The other fundamental element of the system is a formal descriptive framework which is made up of a network language and a scenario language. This paper describes both languages, the general Markov decision process structure, and the current computer implementation of the system. Planned future developments are also outlined.
Author: Ralph Haas Publisher: John Wiley & Sons ISBN: 1119038820 Category : Technology & Engineering Languages : en Pages : 432
Book Description
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.
Author: Organisation for Economic Co-operation and Development Publisher: Organisation for Economic Co-operation and Development ; [Washington, D.C. : OECD Publications and Information Centre ISBN: Category : Business & Economics Languages : en Pages : 168
Author: Kathryn A. Zimmerman Publisher: Transportation Research Board ISBN: 9780309058667 Category : Technology & Engineering Languages : en Pages : 108
Book Description
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.
Author: Shuo Wang
Author: Shuo Wang
Author: J. R. Mbwana
Author: Vahid Zand
Author: 
Author: Michel Gendreau
Author: Ralph Haas
Author: Organisation for Economic Co-operation and Development
Author: Omar Ghaleb Smadi
Author: Florence B. Ni
Author: Kathryn A. Zimmerman