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Multi-criteria optimization methodologies for highway program development.

机译:公路计划开发的多标准优化方法。

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摘要

This study presents multi-criteria optimization methodologies for multi-year and annual program development involved in highway management. Developed and implemented are a set of methodologies for both project and network level decision analysis. Project level methodologies facilitate implementation of tasks such as pavement condition characterization, treatment planning, and life-cycle cost analysis (LCCA). Network level optimization methodologies provide a decision making capability to develop the multi-year and annual maintenance and rehabilitation programs.;The scope of research work includes four important tasks, namely: (1) statistical analysis of distress and roughness data to characterize and assess pavement condition; (2) development of methodologies for treatment planning, LCCA, and multi-year and annual pavement program planning; (3) demonstration and validation of developed methodologies through case studies, and (4) development of a methodological decision framework that integrates the system modules into operational activities of a pavement management system (PMS).;Important contributions of the study include: a rational and analytic method of condition characterization; a state increment method of planning treatment options; a comprehensive and computationally efficient method of LCCA; and optimization methodologies for the multi-year and annual program development. The study also investigated application of cost modeling concepts based on scale and scope of treatment for improved accuracy in economic analysis. The usefulness of the methodologies has been demonstrated through case study applications to New York State Thruway Authority's (NYSTA) pavement network. Important findings from this comprehensive research effort are presented and discussed. The study concludes that the presented comprehensive and coherent set of project and network level methodologies provide a set of versatile decision-making tools that can be institutionalized in NYSTA to support highway management activities.;Significant direct benefits to NYSTA from this research include: a customized pavement management system that enables highway managers to make consistent and cost effective decisions regarding the pavement network; capability to optimally allocate funds; and ability to devise effective policies that achieve feasible goals considering multiple criteria. The contributions from this research will foster development of a comprehensive integrated infrastructure management system. Potential exists for NYSTA to better manage its facilities by optimal allocation of resources across pavements, bridges, canals, and other infrastructure components.
机译:这项研究提出了涉及公路管理的多年和年度计划开发的多标准优化方法。开发和实施的是用于项目和网络级别决策分析的一组方法。项目级方法论促进了诸如路面状况表征,处理计划和生命周期成本分析(LCCA)之类的任务的实施。网络级优化方法为制定多年和年度维护和修复计划提供了决策能力。研究范围包括四个重要任务,即:(1)对遇险和粗糙度数据进行统计分析以表征和评估路面健康)状况; (2)制定用于处理计划,LCCA以及多年和年度路面计划的方法学; (3)通过案例研究论证和验证已开发的方法论,以及(4)开发将系统模块集成到路面管理系统(PMS)的运营活动中的方法论决策框架。该研究的重要贡献包括:条件表征的分析方法;计划治疗方案的状态递增方法; LCCA的一种全面且计算效率高的方法;以及针对多年和年度计划开发的优化方法。该研究还研究了基于规模和处理范围的成本建模概念的应用,以提高经济分析的准确性。通过案例研究应用到纽约州高速公路管理局(NYSTA)的人行道网络,已证明了该方法的有效性。提出并讨论了这项全面研究工作中的重要发现。该研究得出的结论是,提出的全面,一致的项目和网络级方法集提供了一套通用的决策工具,可以在NYSTA中进行制度化以支持公路管理活动。;这项研究对NYSTA的重要直接收益包括:路面管理系统,可使公路管理者就路面网络做出一致且具有成本效益的决策;最佳分配资金的能力;并能够制定有效的政策,以考虑多个标准来实现可行的目标。这项研究的贡献将促进综合基础设施综合管理系统的开发。通过在人行道,桥梁,运河和其他基础设施组件之间优化分配资源,NYSTA可以更好地管理其设施。

著录项

  • 作者

    Ravirala, Venkatesh.;

  • 作者单位

    Rensselaer Polytechnic Institute.;

  • 授予单位 Rensselaer Polytechnic Institute.;
  • 学科 Civil engineering.;Operations research.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 201 p.
  • 总页数 201
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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