Download or read book Developing a Network Optimization Model for Pavement Management Using Dynamic Programming written by Omar Ghaleb Smadi and published by . This book was released on 1993 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Development and Implementation of a Network level Pavement Optimization Model written by Shuo Wang and published by . This book was released on 2011 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Incorporating Network Considerations Into System level Pavement Management Systems written by Aditya Medury and published by . This book was released on 2013 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of transportation infrastructure management is to provide optimal maintenance, rehabilitation and replacement (MR & R) policies for a system of facilities over a planning horizon. While most approaches in the literature have studied it as a finite resource allocation problem, the presence of an underlying network configuration has been largely ignored. The recognition of the network configuration introduces several challenges, as well as opportunities, for system-level MR & R decision-making, which cannot be adequately handled by the existing decision-making frameworks. This dissertation focuses on furthering the development of Markov decision process (MDP)-based system-level MR & R decision-making frameworks. In particular, two problems of interest are identified. The first problem concerns itself with identifying an optimal system-level optimization approach for solving budget allocation problems. The second problem of interest involves moving beyond traditional budget allocation problems to incorporate network considerations into system-level decision-making. In the first part of the dissertation, a revised MDP-based optimization framework is proposed for solving the budget allocation problem. The framework, referred to as simultaneous network optimization (SNO), combines the salient features of the different MDP-based optimization approaches in infrastructure management literature, and provides optimal facility-specific MR & R policies for budget allocation problems. The proposed methodology is then compared with the other state-of-the-art MDP methodologies using a parametric study involving varying system sizes. The results of the study indicate the SNO outperforms the other MDP-based optimization frameworks. In the second part of the dissertation, it is argued that while SNO is optimal for solving budget allocation problems, it can produce sub-optimal policies upon introducing network constraints. Consequently, the use of an approximated dynamic programming (ADP) framework is motivated to solve system-level MR & R decision-making problems involving network constraints. ADP facilitates the modeling of complex problem formulations by overcoming the curse of dimensionality associated with traditional dynamic programming frameworks. To assess the suitability of ADP for system-level infrastructure management, two scenarios involving network considerations are investigated. In the first scenario, an approximate dynamic programming framework is proposed, wherein capacity losses due to construction activities are subjected to an agency-defined network capacity threshold. A parametric study is conducted on a stylized network configuration to infer the impact of network-based constraints on the decision-making process. The results indicate that ADP performs better than SNO when the network capacity constraints are binding on the decision-making process. In the second scenario, the impact of introducing economies of scale (EOS) within budget allocation problems is investigated. Herein, incorporating network considerations leads to economic interdependence, wherein potential cost savings can be achieved by combining MR & R activities across adjacent road sections. Using parametric case studies, it is observed that the performances of ADP and SNO are comparable, with ADP improving upon the results of SNO under low budget and high EOS settings. In conclusion, the findings from this dissertation indicate that ADP is a robust modeling framework for MDP-based infrastructure management problems. While previous research illustrates the use of ADP in solving system-level budget allocation problems, it is shown here that ADP is more relevant for modeling problems involving complex inter-facility dynamics. In particular, ADP is most beneficial in scenarios wherein finding optimal policies using analytical frameworks is not feasible.

Download or read book Masters Theses in the Pure and Applied Sciences written by Wade H. Shafer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 39 (thesis year 1994) a total of 13,953 thesis titles from 21 Canadian and 159 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 39 reports theses submitted in 1994, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.

Download or read book Multi period Optimization of Pavement Management Systems written by Jaewook Yoo and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research is to develop a model and solution methodology for selecting and scheduling timely and cost-effective maintenance, rehabilitation, and reconstruction activities (M & R) for each pavement section in a highway network and allocating the funding levels through a finite multi-period horizon within the constraints imposed by budget availability in each period, frequency availability of activities, and specified minimum pavement quality requirements. M & R is defined as a chronological sequence of reconstruction, rehabilitation, and major/minor maintenance, including a "do nothing" activity. A procedure is developed for selecting an M & R activity for each pavement section in each period of a specified extended planning horizon. Each activity in the sequence consumes a known amount of capital and generates a known amount of effectiveness measured in pavement quality. The effectiveness of an activity is the expected value of the overall gains in pavement quality rating due to the activity performed on a highway network over an analysis period. It is assumed that the unused portion of the budget for one period can be carried over to subsequent periods. Dynamic Programming (DP) and Branch-and-Bound (B-and-B) approaches are combined to produce a hybrid algorithm for solving the problem under consideratioin. The algorithm is essentially a DP approach in the sense that the problem is divided into smaller subproblems corresponding to each single period problem. However, the idea of fathoming partial solutions that could not lead to an optimal solution is incorporated within the algorithm to reduce storage and computational requirements in the DP frame using the B-and-B approach. The imbedded-state approach is used to reduce a multi-dimensional DP to a one-dimensional DP. For bounding at each stage, the problem is relaxed in a Lagrangean fashion so that it separates into longest-path network model subproblems. The values of the Lagrangean multipliers are found by a subgradient optimization method, while the Ford-Bellman network algorithm is employed at each iteration of the subgradient optimization procedure to solve the longest-path network problem as well as to obtain an improved lower and upper bound. If the gap between lower and upper bound is sufficiently small, then we may choose to accept the best known solutions as being sufficiently close to optimal and terminate the algorithm rather than continue to the final stage.

Download or read book Development of Pavement Network Optimization System written by Suresh Venukanthen and published by . This book was released on 2001 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: A computerized method has been developed to conduct network optimization analysis. The analysis uses performance models along with life-cycle cost analysis to identify the most effective treatment to be applied for a specific pavement section. Performance models were developed for the most common maintenance treatments: sand and chip seals, and rehabilitation treatments: overlay, roadbed modification, and mill and overlay. The models were developed using actual pavement management data collected on field sections for the past 15 years. The life-cycle cost analysis uses the present worth approach along with actual cost figures for initial and annual construction activities. The individual treatments are used to create alternatives that can provide the acceptable performance level for a given pavement section over the entire analysis period of 20 years. The annual performance of pavement sections is modeled in terms of the present serviceability index (PSI). The most effective treatment alternative is selected based on the highest benefit cost ratio which is defined as the ratio of area under the PSI versus time curve divided by the total cost of the alternative. Once the most effective alternative is selected for each pavement section, a summary of the annual expenditures is provided for the group of pavement sections that have been selected for analysis. The group of projects can be the entire network or a group of pavement sections that have been selected by the engineer.

Download or read book Pavement Network Optimization and Implementation written by and published by . This book was released on 1993 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pavement Management Methodologies to Select Projects and Recommend Preservation Treatments written by Kathryn A. Zimmerman and published by Transportation Research Board. This book was released on 1995 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Recent Advances in Transportation Systems Engineering and Management written by M. V. L. R. Anjaneyulu and published by Springer Nature. This book was released on 2022-11-10 with total page 903 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the select proceedings of the 8th International Conference on Transportation Systems Engineering and Management (CTSEM 2021). The book covers topics pertaining to three broad areas of transportation engineering, namely Transportation Planning, Traffic Engineering and Pavement Technology. The topics covered include transportation and land use, urban and regional transportation planning, travel behavior modeling, travel demand analysis, forecasting and management, transportation and ICT, public transport planning and management, freight transport, traffic flow modeling and management, highway design and maintenance, capacity and level of service, traffic crashes and safety, ITS and applications, non-motorized transportation, transportation economics and policy, road and parking pricing, pedestrian facilities and safety, road asset management, pavement materials and characterization, pavement design and construction, pavement evaluation and management, transportation infrastructure financing, innovative trends in transportation systems, sustainable transportation, smart cities, resilience of transportation systems and environmental and ecological aspects. This book will be useful for the students, researchers and the professionals in the area of civil engineering, especially transportation and traffic engineering.

Download or read book Multi objective Optimization for Bridge Management Systems written by National Cooperative Highway Research Program and published by Transportation Research Board. This book was released on 2007 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains ... "[u]sers manual and software for NCHRP Report 590: Multi-objective optimization for bridge management systems."--CD-ROM label.

Download or read book Development of a Micro computer Based Optimization Model for Pavement Management written by Christian France Davis and published by . This book was released on 1991 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Construction Scheduling Cost Optimization and Management written by Hojjat Adeli and published by CRC Press. This book was released on 2003-09-02 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Construction Scheduling, Cost Optimization and Management presents a general mathematical formula for the scheduling of construction projects. Using this formula, repetitive and non-repetitive tasks, work continuity considerations, multiple-crew strategies, and the effects of varying job conditions on the performance of a crew can be modelled.L This book presents an entirely new approach to the construction scheduling problem. It provides a practical methodology which will be of great benefit to all those involved in construction scheduling and cost optimization, including construction engineers, highway engineers, transportation engineers, contractors and architects. It will also be useful for researchers, and graduates on courses in construction scheduling and planning.

Download or read book Joint Optimization of Pavement Management and Reconstruction Policies for Segment and System Problems written by Jinwoo Lee and published by . This book was released on 2015 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation presents a methodology for the joint optimization of a variety of pavement construction and management activities for segment and system problems under multiple budget constraints. The objective of pavement management is to minimize the total discounted life time costs for the agency and the highway users by finding optimal policies. The scope of the dissertation is focused on continuous time and continuous state formulations of pavement condition. We use a history-dependent pavement deterioration model to account for the influence of history on the deterioration rate. Three topics, representing different aspects of the problem are covered in the dissertation. In the first part, the subject is the joint optimization of pavement design, maintenance and rehabilitation (M & R) strategies for the segment-level problem. A combination of analytical and numerical tools is proposed to solve the problem. In the second part of the dissertation, we present a methodology for the joint optimization of pavement maintenance, rehabilitation and reconstruction (MR & R) activities for the segment-level problem. The majority of existing Pavement Management Systems (PMS) do not optimize reconstruction jointly with maintenance and rehabilitation policies. We show that not accounting for reconstruction in maintenance and rehabilitation planning results in suboptimal policies for pavements undergoing cumulative damage in the underlying layers (base, sub-base or subgrade). We propose dynamic programming solutions using an augmented state which includes current surface condition and age. In the third part, we propose a methodology for the joint optimization of rehabilitation and reconstruction activities for heterogeneous pavement systems under multiple budget constraints. Within a bottom-up solution approach, Genetic Algorithm (GA) is adopted. The complexity of the algorithm is polynomial in the size of the system and the policy-related parameters.

Download or read book Prioritization Optimization Process Algorithm to Manage Pavement Networks During the Non Availability of Historical Data written by A. Kitaha and published by . This book was released on 2016 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Optimization Modeling for an Enhanced Network level Pavement Management System written by J. R. Mbwana and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Network Optimization System for Highway Pavement Management written by Fengxian Liu and published by . This book was released on 2003 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimization in Pavement Management at Network Level Using Evolutionary Algorithms written by Choon Yong Tan and published by . This book was released on 1995 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: