Development and Implementation of Transportation Asset Management, Case Study of Local Pavements and Culverts Network

Development and Implementation of Transportation Asset Management, Case Study of Local Pavements and Culverts Network
Author :
Publisher :
Total Pages : 71
Release :
ISBN-10 : OCLC:1176371865
ISBN-13 :
Rating : 4/5 (65 Downloads)

Book Synopsis Development and Implementation of Transportation Asset Management, Case Study of Local Pavements and Culverts Network by : Vahid Zand

Download or read book Development and Implementation of Transportation Asset Management, Case Study of Local Pavements and Culverts Network written by Vahid Zand and published by . This book was released on 2018 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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